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Got data? The biggest-ever portable encrypted SSD just came out – Cult of Mac

The headline should probably read, Got data? And money? Storage device-maker Apricorn released on Thursday what it bills as the largest-ever portable encrypted solid state drive. It holds 20TB of data and costs $12,999.

But dont worry, you can get a much smaller one for as little as $239.

The Apricorn Fortress L3 SSD drives, including the monster 20TB model, feature hardware-based 256-bit AES XTS encryption and come encased in rugged enclosures.

The lineup of seven sizes ranges upward in capacity from 512GB. The companys six HDD versions range from 500GB to 5TB.

The new 20TB drive is meant to ferry large amounts of sensitive data securely. Its designed for businesses, but its OS-agnostic, so itll work for anyone.

Anyone, that is, working on any operating system with vast amounts of information they want to store, protect and potentially move around. Say, a person who creates 3D renderings, soundtracks or other large projects, for example.

The 20TB Aegis Fortress L3s mass storage capabilities enable fast response, restoration and recovery in the event of a disaster, reducing downtime and minimizing financial and reputational damage, said Apricorn Managing Director EMEA Jon Fielding.This is critical for businesses looking to build resilience at a time when ransomwareattacks, in particular, are becoming an almost daily occurrence.

The Fortress L3 SSDs bristle with security features. They include physical tamper protection, a wear-resistant keypad, software-free operation and the real-time 256-bit AES XTS hardware encryption mentioned above.

That much security in a portable drive can mean unremarkable data-transfer speeds. But most users should find it an acceptable trade-off with Apricorns advertised SSD transfer speeds maxing out at 370MB per second.

The drives ship with USB-A and USB-C connector cables.

Price: $239 to $12,999

Buy from: Apricorn

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Application-Level Encryption Market is expected to expand at a CAGR of 25% from 2020 to 2030 KSU | The Sentinel Newspaper – KSU | The Sentinel…

The global application-level encryption market was valued at US$ 718.5 Mn in 2019 and is expected to expand at a CAGR of 25% from 2020 to 2030, reaching US$ 8 Mn by the end of the forecast period.

Application-level encryption solutions help in improving data accuracy in encrypted digital form, minimizes operational cost, and simplifies different data-related operational processes. Thus, the increasing adoption of encryption software to avoid cyber attacks and internal data breaches has led to a rise in demand for application-level encryption solutions

The Application-Level Encryption Market Report discusses the current state of the industry as well as potential business developments across the globe. The report provides pinpoint analysis for changing competitive dynamics. It offers a forward-looking perspective on different factors driving or limiting market growth. It provides a five-year forecast assessed on the basis of how they Application-Level Encryption Market is predicted to grow. It helps in understanding the key product segments and their future and helps in making informed business decisions by having complete insights of market.Additionally, with the emergence of the pandemic, the effect of Covid-19 is analyzed within the report.

The report provides detailed competitive intelligence to make users aware of all the recent innovations and developments with respect to their competition. The strategy, key patterns, market developments along with micro and macro details of competitive market landscapes are well curated in the report. The report has added the forecasts, investigation, and discussion of significant industry trends, market volume, market share estimates, and profiles of the leading industry players. The precise figures and statistical representation of the Application-Level Encryption market are provided. In addition, the report comprises an investment feasibility analysis explaining the total technical feasibility of this undertaking and the price structure.

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Some well-established players in the Application-Level Encryption market are Baffle, Inc., Blue Star Limited, Chino Srls, Dell, Inc., F5 Networks, Inc., Futurex, IBM Corporation, McAfee LLC, Micro Focus International plc, Microsoft Corporation, nCipher Security, LLC, NetLib, Security, Inc.

The global Application-Level Encryption market report looks at the markets main segments and sub-segments, which are divided into product types, applications, and regions. Aside from the devastating economic effects of the Covid-19 outbreak, the study examines the markets dynamics by examining the main output of each segment as well as the segments possible expansion reach in the coming years. The scope of the markets growth potential, revenue growth, product selection, and pricing factors relevant to the global Application-Level Encryption market in terms of applications are also thoroughly evaluated in the report in order to provide a more holistic image of the market.

Market Segment By Deployment

Market Segment By Enterprise Size

Market Segment By Applications

Market Segment By Region:

Regional analysis is another highly comprehensive part of the research and analysis study of the global Application-Level Encryption market is presented in the report. This section sheds light on the sales growth of different regional and country-level. It provides detailed and accurate country-wise volume analysis and region-wise market size analysis of the global market

The report focuses on the main regions and the main countries including:

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The key questions addressed through this innovative research report:

On the whole, the report proves to be an effective tool that players can use to gain a competitive edge over their competitors and ensure lasting success in the global Application-Level Encryption market. The Report broadcasts comprehensive study of the Application-Level Encryption market to anticipate the imminent expansion of the industry. Examining this Application-Level Encryption report can act as a platform for users who intend to take advantage of each and every opportunity in the industry

The content of the study subjects, includes a total of 14 chapters:

Chapter 1 describes Application-Level Encryption product/service scope, market overview, market opportunities, market driving force, and market risks.

Chapter 2 profiles the top manufacturers of Application-Level Encryption market, with product pricing, sales, revenue and global market share of Application-Level Encryption.

Chapter 3 analyses the Application-Level Encryption competitive situation, sales, revenue. The global Application-Level Encryption market shares of top manufacturers are analyzed emphatically by landscape contrast.

Chapter 4 showcases the Application-Level Encryption breakdown data at the regional level, to discuss the sales, revenue, and growth by regions.

Chapter 5, 6, 7, 8, and 9 emphasize the sales data at the country level, with sales, revenue, and market share for key countries in the world.

Chapter 10 and 11 explain the segments by sales under type and application, with market shares and growth rate under each category.

Chapter 12 depicts Application-Level Encryption market forecasts by region, type, and application, with sales and revenue projections, from 2020 to 2030.

Chapter 13 and 14 describe Application-Level Encryption sales channel, distributors, customers, research findings and conclusion, appendix, and other data sources.

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Application-Level Encryption Market is expected to expand at a CAGR of 25% from 2020 to 2030 KSU | The Sentinel Newspaper - KSU | The Sentinel...

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Encryption Key Management Market to Eyewitness Massive Growth by 2028: Ciphercloud, Gemalto, Google The Manomet Current – The Manomet Current

Latest research study from JCMR with title Global Encryption Key Management Market by Manufacturers, Regions, Type and Application, Forecast to 2022-2029. The Research report presents a complete assessment of the market and contains Future trend, Current Growth Factors, attentive opinions, facts, historical data, and statistically supported and industry validated market data.The study is segmented by products type & Applications. The research study provides estimates for andEncryption Key Management MarketForecast till 2029

Get Quick Free Sample Copy of Report @:jcmarketresearch.com/report-details/1330922/sampleKey Companies/players:Ciphercloud, Gemalto, Google, IBM, Thales E-Security, Box

Application:[Application]

Type: [Type]

The research covers the current & Future market size of the Global Encryption Key Management market & its growth rates based on 8 year history data. It also covers various types of segmentation such as by geography[China, Japan, Korea, Taiwan, Southeast Asia, India & Australia].The market competition is constantly growing higher with the rise in technological innovation and M&A activities in the industry. Moreover, many local and regional vendors are offering specific application products for varied end-users.On the basis of attributes such as company overview, recent developments, strategies adopted by the market leaders to ensure growth, sustainability, financial overview and recent developments.

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Stay up-to-date with globalEncryption Key Managementmarket research offered by JCMR. Check how key trends and emerging drivers are shaping this industry growth.global market insights reports covers market characteristics, size and growth, segmentation, regional breakdowns, competitive landscape, shares, trend and strategies for this market. The market characteristics section of the report defines and explain the market. The market size section gives the revenues, covering both the historic growth of the market and forecasting the future.

In the GlobalEncryption Key ManagementIndustry Market Analysis & Forecast 2022-2029, the revenue is valued at USD XX million in 2021 and is expected to reach USD XX million by the end of 2029, growing at a CAGR of XX% between 2022 and 2029. The production is estimated at XX million in 2021 and is forecasted to reach XX million by the end of 2029, growing at a CAGR of XX% between 2021 and 2029.

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QueriesResolved in this report Global Encryption Key Management Market by Manufacturers, Regions, Type and Application, Forecast to 2029

What will the market size in 2029 & what will the growth rate?

What are the key market trends?

What is driving Global Encryption Key Management Market?

What are the challenges to market growth?

Who are the key vendors in Global Encryption Key Management Market space?

What are the key market trends impacting the growth of the Global Encryption Key Management Market?

What are the key outcomes of the five forces analysis of the Global Encryption Key Management Market?

What are the market opportunities and threats faced by the vendors in the Global Encryption Key Management market? Get in-depth details about factors influencing the market shares of the Americas, APAC, and EMEA?

There are 15 Chapters to display the Global Encryption Key Management market.

Chapter 1, to describe Definition, Specifications and Classification of Encryption Key Management, Applications of [Application], Market Segment by Regions;

Chapter 2, to analyze the Manufacturing Cost Structure, Raw Material and Suppliers, Manufacturing Process, Industry Chain Structure;

Chapter 3, to display the Technical Data and Manufacturing Plants Analysis of , Capacity and Commercial Production Date, Manufacturing Plants Distribution, Export & Import, R&D Status and Technology Source, Raw Materials Sources Analysis;

Chapter 4, to show the Overall Market Analysis, Capacity Analysis (Company Segment), Sales Analysis (Company Segment), Sales Price Analysis (Company Segment);

Chapter 5 and 6, to show the Regional Market Analysis that includes North America, China, Europe, Southeast Asia, Japan & India, Encryption Key Management Market Analysis by [Type];

Chapter 7 and 8, to analyze the Encryption Key Management Market Analysis by [Application] Major Manufacturers Analysis of Encryption Key Management;

Chapter 9, Market Trend Analysis, Regional Market Trend, Market Trend by Product Type [Type], Market Trend by Application [Application];

Chapter 10, Regional Marketing Type Analysis, International Trade Type Analysis, Supply Chain Analysis;

Chapter 11, to analyze the Consumers Analysis of;

Chapter 12, to describe Encryption Key Management Research Findings and Conclusion, Appendix, methodology and data source;

Chapter 13, 14 and 15, to describe Encryption Key Management sales channel, distributors, traders, dealers, Research Findings and Conclusion, appendix and data source.

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This report provides pin-point analysis for changing competitive dynamics

It provides a forward looking perspective on different factors driving or restraining market growth

It provides a 8-year forecast assessed on the basis of how the market is predicted to grow

It helps in understanding the key product segments and their future

It provides pin point analysis of changing competition dynamics and keeps you ahead of competitors

It helps in making informed business decisions by having complete insights of market and by making in-depth analysis of market segments

Thanks for reading this article; you can also get individual chapter wise section or region wise report version like North America, Europe or Asia.

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Encryption Key Management Market to Eyewitness Massive Growth by 2028: Ciphercloud, Gemalto, Google The Manomet Current - The Manomet Current

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Data storage: the importance of protecting the device and not just the network – IT-Online

With data security such a big talking point of late, many of the discussions around protecting data have focused on securing the network. At a time of increased remote working and reliance on cloud technology, perhaps this is understandable.

By Ruben Dennenwaldt, senior product marketing manager at Western Digital (MEA)

However, a key consideration should also be how best to secure the devices that hold this data.

To ensure data is protected, device systems, hardware, and software applications all have to be analysed thoroughly in order to see where improvements can be made to existing infrastructures. Furthermore, new state-of-the-art security techniques need to feel virtually seamless for end users to help ensure the best results.

Infrastructures for storing data can be improved and, in this article, we will examine four areas where proven security concepts have recently seen significant improvement.

The advantages of hardware encryption

Encryption is important to both the confidentiality of data and the drive where that data resides. Strong hardware-based encryption can help to increase security without impacting speed.

These days people have become accustomed to using their mobile phones for authentication, as many of us now keep our phone with us at all times. We pair our phones with external devices such as headphones, and log in with biometrics such as fingerprint or facial recognition. Using these same sorts of actions seemed like the ideal way to add security features in a way that feels very natural and intuitive.

Hardware-based encryption is different than encryption which takes place within software. In software-based encryption, the host computer has access to the encryption key for the disk, which means that malware on the host can steal that key. With many forms of hardware-based encryption, the key used to encrypt data on the drive stays isolated within the drive itself.

Hardware-based encryption therefore helps provide a secure method of establishing trust while also eliminating a traditional point of friction and weakness within the verification process.

Application security through sandboxing

One of the security measures that must be met by apps listed on official app stores is application sandboxing. Sandboxing supports built-in operating system checks to limit an apps use of system resources to only those features that the app developer intends. This helps prevent inserted malicious or faulty code from being used to access additional system resources.

For instance, a sandboxed application cannot corrupt other applications files, or spoof operating system level security dialogues. By contrast, an app which contains a kernel-level driver has full control over your operating system as well as all applications and files on your computer. Any security bug in this driver might allow malware to take over the entire computer.

Sandboxed applications include an entitlement list that enumerates the set of system resources that the app requires. This list is checked by the operator of the app store to ensure that it matches the features of the application. If the application attempts to access a resource that it does not have permission to use, such as a microphone, then the operating systems sandbox will prevent the application from continuing.

This keeps an app from being used to access resources and data on your device. When it comes to ease of use, the key is applying the best practices of mobile device security to external drives. If the drive is uniquely linked via an app on a users compatible smartphone through an encrypted wireless connection it helps bring enhanced security and a great user experience.

Communications protocols over Bluetooth technology and USB ports

Traditionally, there are two methods to unlock your drive and authorise other users: wirelessly via BluetoothTM technology and using a wired method, such as via a USB port. No matter which method you choose, the same technologies are used to help secure your connection to the device.

The Bluetooth pairing process requires a pairing code to be entered on both devices. Nowadays Bluetooth security can provide a point and pair connection process. This layer makes it easier to pair and also helps improve security by verifying the authenticity of the drive when you connect to it.

Drives can contain a label with a unique key that is used to locate and secure the connection. When connecting via Bluetooth technology, you simply scan the QR code on the label, then your phone finds and connects to the drive using the key embedded in the code. When connecting via a USB port, a separate, shorter code is used, which is printed next to the QR code. This code serves as validation you are connecting to the right drive, and also helps prevent malicious applications from connecting to it.

Data Protection through hardware-backed encryption

These days, hardware-backed encryption is based on a new approach to public-key management, one which allows data to be self-secured by the hardware-based key storage in your smartphone or computer.

Passwords can be a weak link in security, while also interfering with the usability of a device. Simply put, people may choose weak passwords, or they forget them. Once the password of a self-encrypting drive is lost, the data on the drive could be lost as well.

To address these issues, there is a new approach to securing data on a self-encrypting drive. A smartphone or laptop can be used as a key that can unlock your drive. Specifically, this is done through a hardware-backed key storage on your device. This hardware protection enforces the use of a mobile devices passcode or the biometric used to unlock the private key.

Moving forward

There are clear advantages to using hardware for data security over solely relying on secure networks. Hardware products can push the boundaries of state-of-the-art security techniques while maintaining ease-of-use that feels virtually seamless.

These products are designed by choosing existing, proven security concepts, improving them whenever possible, and creating innovative solutions where they are needed. Ultimately, by weaving concepts together, a next-generation architecture is created that helps provide security over many technology layers.

Related

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Global E-mail Encryption Market 2021 Demands To Sustain in Future Industry Size, Growth, Revenue, Global Statistics and Forecast to 2030 The Manomet…

TheE-mail Encryption MarketReport makes available the current and forthcoming technical and financial details of the industry. The report contains an in-depth analysis of market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape. This report explores all the key factors affecting the growth of the global market, including demand-supply scenario, pricing structure, profit margins, production, and value chain analysis. TheBig Market Researchstudy involves the extensive usage of both primary and secondary data sources.

The process begins with internal and external sources to obtain qualitative and quantitative information related to the Global E-mail Encryption Market. It also provides an overview and forecast for the Global E-mail Encryption Market based on all the segmentation provided for the global region. The predictions highlighted in the Global E-mail Encryption Market share report have been derived using verified research procedures and assumptions. By doing so, theBig Market Researchreport serves as a repository of analysis and information for every component of the Global E-mail Encryption Market

NOTE:Our report highlights the major issues and hazards that companies might come across due to the unprecedented outbreak of COVID-19.

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Market players have been discussed and profiles of leading players including Top Key Companies:HPData MotionProofpointEdgeWaveTrend MicroCryptzoneSymantecSophosLuxSciPrivato

Key highlights from Covid-19 impact assessment:

Why to Select This Report:

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The Global E-mail Encryption Market is also characterized by a highly complex value chain involving product manufacturers, material suppliers, technology developers, and manufacturing equipment developers. Partnerships between research organizations and the industry players help in streamlining the path from the lab to commercialization. In order to also leverage the first mover benefit, companies need to collaborate with each other so as to develop products and technologies that are unique, innovative and cost effective.

The report includes the region-wise segmentation North America (United States, Canada and Mexico), Europe (Germany, France, UK, Russia and Italy), Asia-Pacific (China, Japan, Korea, India and Southeast Asia), South America (Brazil, Argentina, Colombia etc.), Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria and South Africa) of the market. In the regional segmentation, the regions dominating the Global E-mail Encryption market are included along with the regions where the growth of the market is slow.

By the product type, the Global E-mail Encryption Market is primarily split into 2020-2025:On-PremisesCloud

By the end-users/application, the Global E-mail Encryption Market report covers the following segments 2020-2025:BFSIHealthcareGovernmentRetailIT and TelecomEducationManufacturingOthers

Conclusively, this report is a one stop reference point for the industrial stakeholders to get Global E-mail Encryption market forecast of till 2025. This report helps to know the estimated market size, market status, future development, growth opportunity, challenges, and growth drivers of by analyzing the historical overall data of the considered market segments.

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Global E-mail Encryption Market 2021 Demands To Sustain in Future Industry Size, Growth, Revenue, Global Statistics and Forecast to 2030 The Manomet...

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Four ways artificial intelligence is helping us learn about the universe – The Conversation UK

Astronomy is all about data. The universe is getting bigger and so too is the amount of information we have about it. But some of the biggest challenges of the next generation of astronomy lie in just how were going to study all the data were collecting.

To take on these challenges, astronomers are turning to machine learning and artificial intelligence (AI) to build new tools to rapidly search for the next big breakthroughs. Here are four ways AI is helping astronomers.

There are a few ways to find a planet, but the most successful has been by studying transits. When an exoplanet passes in front of its parent star, it blocks some of the light we can see.

By observing many orbits of an exoplanet, astronomers build a picture of the dips in the light, which they can use to identify the planets properties such as its mass, size and distance from its star. Nasas Kepler space telescope employed this technique to great success by watching thousands of stars at once, keeping an eye out for the telltale dips caused by planets.

Humans are pretty good at seeing these dips, but its a skill that takes time to develop. With more missions devoted to finding new exoplanets, such as Nasas (Transiting Exoplanet Survey Satellite), humans just cant keep up. This is where AI comes in.

Time-series analysis techniques which analyse data as a sequential sequence with time have been combined with a type of AI to successfully identify the signals of exoplanets with up to 96% accuracy.

Time-series models arent just great for finding exoplanets, they are also perfect for finding the signals of the most catastrophic events in the universe mergers between black holes and neutron stars.

When these incredibly dense bodies fall inwards, they send out ripples in space-time that can be detected by measuring faint signals here on Earth. Gravitational wave detector collaborations Ligo and Virgo have identified the signals of dozens of these events, all with the help of machine learning.

By training models on simulated data of black hole mergers, the teams at Ligo and Virgo can identify potential events within moments of them happening and send out alerts to astronomers around the world to turn their telescopes in the right direction.

Read more: What happens when black holes collide with the most dense stars in the universe

When the Vera Rubin Observatory, currently being built in Chile, comes online, it will survey the entire night sky every night collecting over 80 terabytes of images in one go to see how the stars and galaxies in the universe vary with time. One terabyte is 8,000,000,000,000 bits.

Over the course of the planned operations, the Legacy Survey of Space and Time being undertaken by Rubin will collect and process hundreds of petabytes of data. To put it in context, 100 petabytes is about the space it takes to store every photo on Facebook, or about 700 years of full high-definition video.

You wont be able to just log onto the servers and download that data, and even if you did, you wouldnt be able to find what youre looking for.

Machine learning techniques will be used to search these next-generation surveys and highlight the important data. For example, one algorithm might be searching the images for rare events such as supernovae dramatic explosions at the end of a stars life and another might be on the lookout for quasars. By training computers to recognise the signals of particular astronomical phenomena, the team will be able to get the right data to the right people.

As we collect more and more data on the universe, we sometimes even have to curate and throw away data that isnt useful. So how can we find the rarest objects in these swathes of data?

One celestial phenomenon that excites many astronomers is strong gravitational lenses. This is what happens when two galaxies line up along our line of sight and the closest galaxys gravity acts as a lens and magnifies the more distant object, creating rings, crosses and double images.

Finding these lenses is like finding a needle in a haystack a haystack the size of the observable universe. Its a search thats only going to get harder as we collect more and more images of galaxies.

In 2018, astronomers from around the world took part in the Strong Gravitational Lens Finding Challenge where they competed to see who could make the best algorithm for finding these lenses automatically.

The winner of this challenge used a model called a convolutional neural network, which learns to break down images using different filters until it can classify them as containing a lens or not. Surprisingly, these models were even better than people, finding subtle differences in the images that we humans have trouble noticing.

Over the next decade, using new instruments like the Vera Rubin Observatory, astronomers will collect petabytes of data, thats thousands of terabytes. As we peer deeper into the universe, astronomers research will increasingly rely on machine-learning techniques.

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Four ways artificial intelligence is helping us learn about the universe - The Conversation UK

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Hardware Encryption Market 2021 Industry Analysis by Manufacturers, End-User, Type, Application, Regions and Forecast to 2027 The Manomet Current -…

Hardware Encryption Industry is going to play an increasingly important role in the coming years, Market Predicts High CAGR between 2020 and 2027. Breaking down the global trend Hardware Encryption Market currently leading in Europe, the APAC region, South America, and the MEA region. Hardware Encryption is totally fragmented due to presence of maximum players in most of the regions across the globe. Later, the report also delivers different segments on basis of product category, plentiful applications of the product and key revenue regions which highly contribute to the Market share.

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Note: Report Covers the Detailed Pre and Post COVID-19 Impact Analysis on Hardware Encryption Market

Hardware Encryption Market was valued at $52.45 billion in 2016, and is projected to reach $1,085 billion by 2024, having a CAGR of 46.3% during the forecast period of 2017 to 2024. The technology which encrypts the data stored in a hard drive using appropriate and specific mathematical functions is called as hardware encryption. Hardware encryption restricts the unauthorized entities from accessing the important data. The hardware encryption market is majorly driven by reduced cost of encryption and increasing complexity & volume of data breaches.

The research scrutinizes new growth opportunities, carried out with in-depth analysis of the Hardware Encryption Market on the basis of development, and data analysis accounting every aspect of Hardware Encryption Market. Global industry interprets the fundamental aspects of the commanding Market players with their business summary, Hardware Encryption Market sales, press release and evolution taking place in the Market.

COVID-19 IMPACT Analysis on Hardware Encryption Market

Coronavirus has influenced every one of the organizations, little or large, dealing in any sector. The growth curves of Hardware Encryption Market have seen immense fluctuations in the year 2020. The Market scenario and the pace of growth have taken a colossal turn and have prompted numerous adjustments in the cycles, which will have repercussions for a significant stretch. 2021 is probably going to be superior to 2020 for the Hardware Encryption Market players as the greater part of the organizations have continued their activities and the interest is getting reestablished for them.

Some Major 10+ Key players in the Hardware Encryption Market:

Certes Networks Inc.IBM CorporationImation Corp.Kingston Technology Corporation Inc.Maxim Integrated Products Inc.Micron Technology Inc.NetApp Inc.Samsung Electronics Co. Ltd.SanDisk CorporationSeagate Technology LLCToshiba Corporation

Click here to get the short-term and long-term impacts of COVID-19 on this Market. Please visit: https://www.esticastresearch.com/report/hardware-encryption-market

Hardware Encryption Market Competitive Analysis:

The report studies the competitive framework and business environment via different analytical frameworks such as

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Hardware Encryption Market Segmentation:

Report digs deep into critical aspects of key subjects which help Market players to make appropriate changes in their approach. Hardware Encryption Market report provide competitive analysis which helps readers to become aware of unique characteristics of crucial factors impacting the Market competition. Hardware Encryption Market report provides accurate Market data, Market dynamics and key segments. Report will also provide that how will Market situation change in the coming years and the Important changes in Market dynamics, it also provides former, on-going, and projected Market analysis in terms of volume and value with Emerging segments and regional Markets.

By Segments

By UsageStorage DeviceNetwork

By Application,

Healthcare SectorMilitary & AerospaceAutomotive & TransportationBFSIIT & TelecomOthers (Retail, Education, Individual User)

Regional analysis:

Geographical Markets are covered separately within the report that includes a competitive analysis on their Market performance in the base year as well as predictions for the forecast year. Extensive primary research is conducted to carry out leading information in order to understand the Market condition and competition within a specified geography. Comparison between two or multiple geographical Markets is carried out effectively to know where to invest in.

By Regions:

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Hardware Encryption Market 2021 Industry Analysis by Manufacturers, End-User, Type, Application, Regions and Forecast to 2027 The Manomet Current -...

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WHO issues first global report on Artificial Intelligence (AI) in health and six guiding principles for its design and use – World Health Organization

Artificial Intelligence (AI) holds great promise for improving the delivery of healthcare and medicine worldwide, but only if ethics and human rights are put at the heart of its design, deployment, and use, according to new WHO guidance published today.

The report, Ethics and governance of artificial intelligence for health, is the result of 2 years of consultations held by a panel of international experts appointed by WHO.

Like all new technology, artificial intelligence holds enormous potential for improving the health of millions of people around the world, but like all technology it can also be misused and cause harm, said Dr Tedros Adhanom Ghebreyesus, WHO Director-General. This important new report provides a valuable guide for countries on how to maximize the benefits of AI, while minimizing its risks and avoiding its pitfalls.

Artificial intelligence can be, and in some wealthy countries is already being used to improve the speed and accuracy of diagnosis and screening for diseases; to assist with clinical care; strengthen health research and drug development, and support diverse public health interventions, such as disease surveillance, outbreak response, and health systems management.

AI could also empower patients to take greater control of their own health care and better understand their evolving needs. It could also enable resource-poor countries and rural communities, where patients often have restricted access to health-care workers or medical professionals, to bridge gaps in access to health services.

However, WHOs new report cautions against overestimating the benefits of AI for health, especially when this occurs at the expense of core investments and strategies required to achieve universal health coverage.

It also points out that opportunities are linked to challenges and risks, including unethical collection and use of health data; biases encoded in algorithms, and risks of AI to patient safety, cybersecurity, and the environment.

For example, while private and public sector investment in the development and deployment of AI is critical, the unregulated use of AI could subordinate the rights and interests of patients and communities to the powerful commercial interests of technology companies or the interests of governments in surveillance and social control.

The report also emphasizes that systems trained primarily on data collected from individuals in high-income countries may not perform well for individuals in low- and middle-income settings.

AI systems should therefore be carefully designed to reflect the diversity of socio-economic and health-care settings. They should be accompanied by training in digital skills, community engagement and awareness-raising, especially for millions of healthcare workers who will require digital literacy or retraining if their roles and functions are automated, and who must contend with machines that could challenge the decision-making and autonomy of providers and patients.

Ultimately, guided by existing laws and human rights obligations, and new laws and policies that enshrine ethical principles, governments, providers, and designers must work together to address ethics and human rights concerns at every stage of an AI technologys design, development, and deployment.

To limit the risks and maximize the opportunities intrinsic to the use of AI for health, WHO provides the following principles as the basis for AI regulation and governance:

Protecting human autonomy: In the context of health care, this means that humans should remain in control of health-care systems and medical decisions; privacy and confidentiality should be protected, and patients must give valid informed consent through appropriate legal frameworks for data protection.

Promoting human well-being and safety and the public interest. The designers of AI technologies should satisfy regulatory requirements for safety, accuracy and efficacy for well-defined use cases or indications. Measures of quality control in practice and quality improvement in the use of AI must be available.

Ensuring transparency, explainability and intelligibility. Transparency requires that sufficient information be published or documented before the design or deployment of an AI technology. Such information must be easily accessible and facilitate meaningful public consultation and debate on how the technology is designed and how it should or should not be used.

Fostering responsibility and accountability. Although AI technologies perform specific tasks, it is the responsibility of stakeholders to ensure that they are used under appropriate conditions and by appropriately trained people. Effective mechanisms should be available for questioning and for redress for individuals and groups that are adversely affected by decisions based on algorithms.

Ensuring inclusiveness and equity. Inclusiveness requires that AI for health be designed to encourage the widest possible equitable use and access, irrespective of age, sex, gender, income, race, ethnicity, sexual orientation, ability or other characteristics protected under human rights codes.

Promoting AI that is responsive and sustainable. Designers, developers and users should continuously and transparently assess AI applications during actual use to determine whether AI responds adequately and appropriately to expectations and requirements. AI systems should also be designed to minimize their environmental consequences and increase energy efficiency. Governments and companies should address anticipated disruptions in the workplace, including training for health-care workers to adapt to the use of AI systems, and potential job losses due to use of automated systems.

These principles will guide future WHO work to support efforts to ensure that the full potential of AI for healthcare and public health will be used for the benefits of all.

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WHO issues first global report on Artificial Intelligence (AI) in health and six guiding principles for its design and use - World Health Organization

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Instances of Ethical Dilemma in the Use of Artificial Intelligence – Analytics Insight

To be or not to be- the ethical dilemma is a constant in human life whenever it comes to taking a decision. In the world of technology, artificial intelligence comes closest to human-like attributes. It aims to imitate the automation of human intelligence in times of operation or taking a decision. However, the AI machine cant take an independent decision and the mentality of the programmer reflects upon the operation of the AI Machine. While driving an autonomous car, in the chance of an accident, the car intelligence might have to decide whom to save first or should a child be saved before an adult. Several ethical challenges that are faced by AI machines are lack of transparency, biased decisions, surveillance practices for data gathering and privacy of court users, and fairness and risk for Human Rights and other fundamental values.

While human attention and patience are limited, the emotional energy of a machine is not rather, a machines experience of limitations is technical. Although this could benefit certain fields like customer service, this limitless capacity could create human addiction to robot affection. Using this idea, many apps are using algorithms to nurture addictive behavior. Tinder, for example, is designed to keep users on the A.I.-powered app by instigating less likely matches the longer a user engages in a session.

One of the most pressing and widely-discussed A.I. ethics issues is the training of bias in systems that involve predictive analysis, like hiring or crime. Amazon most famously ran into a hiring bias issue after training an A.I.-powered algorithm to present strong candidates based on historical data. Because previous candidates were chosen through human bias, the algorithm favored men as well. This showcased gender bias in Amazons hiring process, which is not ethical. In March, the NYPD disclosed that it developed Patternizer, an algorithmic machine-learning software that shifts through police data to find patterns and connect similar crimes, and has used it since 2016. The software is not used for rape or homicide cases and excludes factors like gender and race when searching for patterns. Although this is a step forward from previous algorithms that were trained on racial bias to predict crime and parole violation, actively removing bias from historical data sets is not standard practice. That means this trained bias is at best an insult and inconvenience; at worst, a risk to personal freedom a and catalyst of systematic oppression.

Deep Fakes are quite popular in the usage of AI. It is a technique that uses A.I. to superimpose images, videos, and audio onto others, creating a false impression of original media and audio, most often with malicious intent. Deep fakes can include face swaps, voice imitation, facial re-enactment, lip-syncing, and more. Unlike older photo and video editing techniques, deep fake technology will become progressively more accessible to people without great technical skills. Similar tech was used during the last U.S. presidential election when Russia implemented Reality Hacking (like the influence of fake news on our Facebook feeds). This information warfare is becoming commonplace and exists not only to alter acts but to powerfully change opinions and attitudes. This practice was also used during the Brexit campaign and is increasingly being used as an example of the rising political tensions and confusing global perspectives.

Most consumer devices (from cell phones to blue-tooth enabled light bulbs) use artificial intelligence to collect our tour to provide better, more personalized service. If consensual, and if the data collection is done with transparency, this personalization is an excellent feature. Without consent and transparency, this feature could easily become malignant. Although a phone tracking app is useful after leaving your iPhone in a cab, or losing your keys between the couch cushions, tracking individuals could be un for at a small scale (like domestic abuse survivors seeking privacy) or at a large scale (like government compliance).

These instances answer the question of how artificial intelligence raises the question of ethical dilemmas. It also confirms the fact that AI can only be ethical once its creators and programmers want it to be.

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Former Anonymous and Lulzsec hacker discusses his criminal past and gives his top tips for avoiding ransomware – Texasnewstoday.com

Jake Davis, known as Topiary, breaks down the Travelex hack amongst others, and explains why the governments repeated attempts to outlaw end-to-end encryption will never work

Jake Davis, the former hacker known as Topiary and senior member of hacktivist groups Anonymous and Lulzsec has spoken about the scale of the ransomware challenge facing organisations today, and given his tips for staying secure.

Speaking at Computings recent Cyber Security Festival, Davis began by outlining his history as a hacktivist before his capture and arrest in 2011.

Im a former hacktivist, I was involved in Anonymous and Lulzsec. I was involved in hacking the Westboro Baptist Church, which is a homophobic and racist group. W e would target groups like this and take them down. That also shows the silly mistakes I made when I was a hacker.

Obviously Im not one now because Im showing my face I got caught! I used my real voice like an idiot during the live broadcast of the hack on YouTube in 2010.

He also discussed his history with Lulzsec.

I was also involved in Lulzsec we were a meta hacking group that tried to make fun of hacking groups who took themselves seriously. Our naive teenage goal was to expose the lack of global security posture by hacking everything in existence. With immediate hindsight that was very reckless. Someone dared us on Twitter to take down the CIA website, so we took it down for the afternoon.

His groups were also involved in several attacks on well-known newspapers.

We pioneered this real fake news strategy where wed highlight security flaws in major newspaper websites by hacking into them and posting stories as if they were from their own editorial team like Tupac and Biggy are alive in New Zealand.

We also went after News International in 2011 in the midst of the phone hacking scandal, where journalists from the Sun and News of the World and others were getting away with hacking the voicemails of celebrities, whilst hacktivists were prosecuted. They had very good lawyers so they were getting away with it, so we hacked them in response.

But events soon spiralled out of control.

Things got a little out of hand. We were 17 and 18 at the time. We didnt realise the scope of how the real world would respond, until we saw our ridiculous imagery of a man in a top hat sipping wine with a cat flying through space, on the front page of the Wall Street Journal. The headline was Hackers broaden their attacks.

People started to dress like us, and we were trending on Twitter with boy band One Direction at number two. We realised things have gone too far and we were doomed. And indeed we were.

Davis outlined the details of his arrest and prosecution.

I was arrested in a joint Met Police operation with the FBI. I was sentenced to two years in a young offenders institute. Luckily I didnt need to spend anything like two years though because for the previous two years Id been in home detention with an electronic tag, because it took so long to go to trial. In 2011 prosecuting this type of attack was so novel, the legal teams and judges didnt know how to get to grips with it.

I spent five years until 2018 banned from encryption. Which makes no sense, the law made no sense. I spoke to someone from the serious crime prevention squad to explain I needed to draw some money from the bank. Technically Im using encryption when I put the card in, because you enter your PIN, that goes to the bank and its encrypted. If I turn on my computer, thats encryption.

Today Davis works in the cyber security industry.

I do some traditional cyber work, some bug bounty hunting, creative consultancy for TV, movies and theatre. I talk to universities and schools and encouraging the next generation of hackers not to be like Lulzsec, but to think critically and to use their skills to make the world a more secure place.

If I had to compare 2021 to 2011 theres a lot of negativity around hacker groups now because theyve moved more towards financial gain, especially with ransomware. Thats what I hear about the most.

Bug Bounties

He explained that he is a big fan of bug bounties, with some companies encourage ethical hacking where hackers privately expose the vulnerabilities they have discovered in corporate sites in exchange for money, so that the organisation can fix the problem before a more malicious actor has the chance to exploit it.

Bug bounties are very useful, and they did not exist in any formal way when I was hacking ten years ago. There were some companies ten years ago we hacked who we decided to inform quietly rather than make public. The NHS for example. In 2011 we found flaws in NHS websites in England so we told them about it privately. The Crown Prosecution Service decided to prosecute us for this anyway which nowadays would be completely insane.

If youre a big company and you put out a notice saying you can hack us within this scope, theres no way youre going to start prosecuting hackers, youd get laughed out of the room. We often in the UK overlook things like in Argentina if youre a bug bounty hacker you earn 40 times more than the median salary.

This is improving year on year in places like Argentina, where bug bounty hackers can provide for their entire families, and their skills are through the roof. If youre Facebook and you have a $500 minimum which you pay hackers, and you pay it directly into their Paypal account thats amazing for them.

When ethical hackers were surveyed and asked why they hack, the number one reason was To make money. This is what motivates even the most moral and ethical hackers. Thats the same motivation for not very ethical hackers and thats a big problem because the ability to make money through cybercrime has always existed, but its become very easy now.

We like to think were in a world where 11 billion records have been leaked but only very high level hackers can go after those records, but the truth is that the skill floor is so ridiculously low.

The site HaveIBeenPwned.com lists 11.4 billion breached accounts in existence, a number which is growing by around a billion a year.

This is a very ethical website, you put in your email address and it says you are in this many data breaches, but there are unethical versions of this site where people put in your email or phone number and they get all of your information and takes no skill to do. We dont really know how many of these sites have been hacked.

Travelex

Davis went on to explain that around $350 million was paid out in ransoms in 2020, then gave a case study around the Travelex hack in 2020.

Theres a very specific type of software they were using which was eight months out of date. They were advised to patch this five months before by the UK government, and five months before that UK security advisors came out with a fix for this bug. So essentially they were eight months out of date on a piece of software and were hit with a ransomware attack, and ended up paying out 2.3 million.

This is an interesting example of ransomware groups who dont target companies but software vulnerabilities. So if there are 10,000 companies using a piece of software and the hackers know of a vulnerability in that software they go for all 10,000, and they check the net and go Oh look weve got Travelex, lets extort them, and they end up paying.

A Dutch supermarket ran out of cheese once because of ransomware. A logistics supplier got hacked. No one was specifically targeting a Dutch logistics company they just happened to be using a piece of software.

It was the same with Wannacry. They werent targeting the NHS, they were targeting banks elsewhere in the world and it just so happened to hit the UK.

Darkside

He also described more advanced hacking groups like Darkside, which he said included hackers with a far higher level of skill.

Theyre very media savvy and they use double extortion. They also know whats in the files theyve hacked. So they can extort you for money for releasing the files, but then they go We know the damage it would cause to you to release this information, and that results in a lot of companies paying up. I saw recently a chatlog because they have their own customer support, which is really victim negotiation chat, where a victim was saying Ill pay 7 million, and Darkside said: Youre not a bunch of children we know you have the money, give us 12 million. And they ended up getting it.

These groups can also outsource to other hackers, because they have a lot of money, and a lot of cryptocurrency. So they say to another hacker Well pay you $500,000 for a zero-day vulnerability. That will net them more ransomware revenue. And theyll also offer ransomware as a service and take an affiliate percentage of it.

A lot of them wont be able to get that money out because its very traceable, but they still have millions of dollars at their disposal, but often not much skill. And thats a scary thought when there are websites where you can buy the latest iPhone hack for a million dollars they have that, its not much money to them.

Security Tips

All of which is very alarming for organisations of all shapes and sizes. So what does Davis recommend that we do about it?

You can search peoples usernames or passwords to retrieve information about an entire company. So credential management is extremely important along with enforcing unique credentials.

Two-factor authentication is also essential. And please dont use SMS for two-factor authentication, because basically the entire telecoms network should be destroyed and rebuilt!

The most important thing I can leave you with on ransomware is dont just worry about stopping ransomware hitting you, but run simulations on what would happen if ransomware did hit you. The raging debate at the moment is should you pay the ransom?

My view is you should never pay unless you have to, so you should strive to not have to. So run these simulations so you can say if we are hit, can we position ourselves do we dont need to pay? So you have the backups, they work and the damage can be mitigated so you can still function as a business.

My number one piece of advice: just listen to more talks for security events.

Davis then discussed cyber insurance, explaining that hackers today target cyber insurance companies specifically so they can get lists of clients, so they know who to hack. They then get a higher likelihood of receiving a payout.

Cyber insurance companies now often refuse to payout ransom demands. There are 40 or so companies about the $500 million premium threshold and if only a few of those are hit and get a maximum payout then youre looking at over half a century of premiums. At the moment its risky for companies getting cyber insurance but its also risky for the cyber insurance companies themselves.

He sees wasted effort in cyber security, and also dislikes the extravagant claims made by some products.

Im very sceptical of expensive products which claim to stop 100 per cent of all hacks. You cannot say youre 100 per cent unhackable. Companies who claim to make you invincible should be avoided. What I see a lack of is hiring good people and sticking to basic principles.

For instance the Travelex hack could have been avoided by patching software. I wish I didnt have to say this, if you have these core principles in place you destroy the low hanging fruit for low level hackers. Whats happened in the last decade is the low level hackers have scaled up and now youve got people that ten years ago couldnt fund themselves now have access to millions of dollars in cryptocurrency and can buy the worlds greatest exploits and espionage technology and run havoc with it.

Companies are focused on defending against the big nation-state zero-day exploiting threats, but getting knocked out by these cheeky attacks by kids. And they dont admit it, because it would look bad to say we forgot to lock this door, but this is what most hacks are, and it will continue that way until we correct this basic posture.

End-to-end Encryption

Finally Davis talked about the UK governments repeated attempts to outlaw end-to-end encryption.

It wont work. Banning end to end encryption is like banning maths, it wont work. You cant put a backdoor into end-to-end encryption for the government because as Ed Snowden says a backdoor for one is a backdoor for all.

Theres also nothing wrong with encrypting your data. Lots of threat actors will say youre hiding something. The classic line is you have nothing to fear if you have nothing to hide, which I dont agree with at all. Its not about hiding something its about your basic fundamental human right to privacy.

I travel around with a lot of sensitive work-related information on my laptop, and I take pride in full-disc encrypting it. This is something we can all do.

Governments find most success in taking over entire infrastructure. If you look at end-to-end encrypted messenger apps which are designed specifically for crime like EncroChat, they just get completely taken over by governments.

I agree with targeted surveillance, going after specific people, but mass surveillance and going after end-to-end encryption is a very slippery slope, so my advice is to encrypt everything.

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