Category Archives: Encryption
TLS Is Only as Strong as Its Weakest Link – Hashed Out by The SSL Store – Hashed Out by The SSL Store
Weak encryption is a real risk to data privacy and security. This article, based on Packet Detectives episode The case of the unknown TLS versions, shows how you can use packet capture (via Endace) and Wireshark to discover the outdated & vulnerable devices that exist on your network
Updates to TLS have significantly strengthened data privacy over the Internet with the introduction of perfect forward secrecy and stronger crypto ciphers in TLS 1.2 and TLS 1.3. Stronger cyphers, which are almost impossible to crack using modern computers, protects the privacy of sensitive data as it traverses the Internet.
Weak cyphers can leave sensitive transactions exposed to brute force attacks and man-in-the-middle (MitM) attacks. For example, your login credentials, password, or sensitive data that displays in your web browser may be exposed if a cybercriminal decrypts a TLS session can be decrypted. Its for this reason that the industry is rapidly moving to deprecate TLS 1.0 and 1.1.
Back in 2018, Google, Microsoft, Apple and Mozilla announced that their browsers will remove support for these outdated versions of TLS. Many cloud services, such as Office 365, have pledged to do the same.
To reduce the threat of these attacks and the consequences that accompany them, its essential that all of your devices, servers and applications are using the most recent versions of TLS (TLS 1.2 or later). But how can you tell what version of TLS encryption is being used? And how can you ensure that all of your connected devices and endpoints arent using outdated versions of the TLS protocol? Well walk you through the process of collecting network packet data using Endace and Wireshark.
Lets hash it out.
Its important to ensure recent versions of TLS are being used by all devices, servers and applications in the enterprise to reduce these threats. August 2020 data from SSL Labs shows that 65.5% of sites support TLS 1.2, whereas 32.8% support TLS 1.3. This data is based on the 150,000 most popular sites in the world (according to Alexas list).
But what decides which version of TLS the client and server use to communication? The version of TLS thats used to encrypt data is defined through a negotiation between the server and client where a handshake agrees on the strongest encryption that both can handle.
Hashed Out has broken down the TLS handshake process before. However, heres a visual overview of how that process works and the communications that take place between the client and the server as a quick reminder.
Every device that uses SSL/TLS including applications, networking elements, servers, IoT devices and endpoints must be updated with the latest software and/or OS that supports TLS 1.2 or greater. Furthermore, each device must be configured to deny connection requests at TLS 1.1 and lower.
Manage Digital Certificates like a Boss
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Thats because outdated and legacy devices become the weakest link for security and data privacy. Needless to say, tracking down all the devices in your enterprise and updating them can be a daunting task especially when just about every device connects to Wi-Fi and has a web interface!
Some firewalls can detect and block traffic by TLS version, so one solution is to block older TLS traffic in your network. However, blocking older versions of TLS without certain knowledge of who or what is using them can lead to nasty (and unintended) surprises.
Updating web browsers may not be enough to remove older TLS traffic. Many endpoints on the network use TLS including servers, software agents and IoT devices and all of these can also be outdated. Another approach is to observe what is happening on the network and identify where older TLS traffic is originating. Outdated TLS agents can then be identified and, if needed, updated or replaced before blocking traffic.
Server logs, event logs and monitoring systems dont necessarily track the TLS version, so an EndaceProbe is used to capture the TLS version negotiations. Packet capture gives a true and accurate picture of all network activity so nothing is missed or altered, and its hard to argue with (should that become necessary). The downside is without good methodology, a huge amount of data (thats difficult to use) can be collected and thats a lot of noise to sort through. But with the right steps, this process is easily managed.
First, create a filter on the EndaceProbe (for example, Port443) in a Wireshark-compatible syntax to capture Port 443 traffic. Set the filter to ignore any other traffic that you dont need.
Using smart truncation in addition to filtering will reduce the data volume even further by truncating data packets and leaving TLS handshake negotiations intact. This reduces the size of the capture file, which is easier to store and manage.
Apply the Port443 filter to a data pipe on the EndaceProbe and let that capture for a full day to get a typical traffic sample. Port 443 is strictly for HTTPS traffic.
You are now ready to analyze. You can get a quick overview, using the built-in investigation tool, where traffic on Port 443 is going. Microsoft One Drive traffic tops the list, which is not unexpected but take a look at that Tik Tok (musical.ly) traffic!
To get into more detail and look into the fields of the TLS Hello packets, youll need to use a tool like Wireshark. Limit the time window to work hours and extract the capture from the EndaceProbe. This results in a 48GB capture file.
You can further reduce the amount of data by applying a Wireshark read filter when opening the capture file. This limits what is read into tls.handshake.type packets with a type of 1 or 2 the handshake types for client and server Hellos and ignores items like certificate and key exchanges. This reduces the number of packets loaded into Wireshark from more than 5 million to about 42,000.
You can save time in Wireshark by using a profile. These examples use a Wireshark profile that has been created to filter by TLS version on the client or server. You can download this Wireshark profile from the Endace website.
During the handshake, the server will only go to the highest TLS version that the client supports. This means that a good starting point is to examine the Client Hellos first. If you look at the packet detail of a Client Hello packet, you can see the TLS version and maximum version capabilities of that client.
The capture shows the actual TLS version in use and the clients using it. Many things can influence the TLS version used. For example, a web browser requesting an older TLS version may be due to a cookie from the last conversation, or maybe a non-browser software agent or device is in use.
If outdated clients are found, there may be much work yet to be done, but at least you now know with some certainty where the problem areas are.
The server makes the final determination of which TLS version is used by selecting the highest version that both client and server support. You can list servers using Wiresharks statistics and endpoints, and then apply Limit to display using the filter, so only those servers using TLS 1.1 or older are listed. This will allow you to further narrow down on the specific traffic youre targeting.
At this stage, you can export a list of servers from Wireshark (in CSV or YAML format) that might need updates. By switching your filters and endpoints, you can identify other areas that may need attention. The best case is to get everything up to TLS version 1.3. However, there is some urgency to eliminate the use of TLS versions below 1.2 (and the vulnerabilities that accompany them).
Applying Wireshark with a sound methodology and filtering gives an effective and efficient way to analyze TLS use in your network. When combined with untamperable packet capture, you can build a detailed, complete and certain picture of what is going on in your network that enables change without guess work. As a result, you can start addressing TLS issues where they originate, before blocking activity at the network level.
By identifying the weakest links in your network, you get on with eliminating them, without any unpleasant surprises and without managing irate users complaints.
This article was co-written with Betty DuBois, Chief Detective for Packet Detectives, an application and network performance consulting and training firm based in Atlanta, GA. DuBois has been solving mysteries since 1997. Experienced with a range of hardware and software packet capture solutions, she captures the right data, in the right place, and at the right time to find the real culprit. Check out bettydubois.com to learn more or to contact her.
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TLS Is Only as Strong as Its Weakest Link - Hashed Out by The SSL Store - Hashed Out by The SSL Store
Encryption Management Solutions Market Trends, Size, Share, Status, Analysis And Forecast To 2025 – The News Brok
Encryption Management Solutions Market
UpMarketResearch, 02-09-2020: The research report on the Encryption Management Solutions Market is a deep analysis of the market. This is a latest report, covering the current COVID-19 impact on the market. The pandemic of Coronavirus (COVID-19) has affected every aspect of life globally. This has brought along several changes in market conditions. The rapidly changing market scenario and initial and future assessment of the impact is covered in the report. Experts have studied the historical data and compared it with the changing market situations. The report covers all the necessary information required by new entrants as well as the existing players to gain deeper insight.
Furthermore, the statistical survey in the report focuses on product specifications, costs, production capacities, marketing channels, and market players. Upstream raw materials, downstream demand analysis, and a list of end-user industries have been studied systematically, along with the suppliers in this market. The product flow and distribution channel have also been presented in this research report.
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The Major Manufacturers Covered in this Report:Check Point Software TechnologiesCisco SystemsIBMMicrosoftOracleSymantec
The Research Study Focuses on:
By Types:Disk EncryptionFolder Encryption Communication EncryptionCloud Encryption
By Applications:BFSIHealthcareGovernmentRetailIT and telecom
By Regions:
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The Encryption Management Solutions Market Report Consists of the Following Points:
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In conclusion, the Encryption Management Solutions Market report is a reliable source for accessing the research data that is projected to exponentially accelerate your business. The report provides information such as economic scenarios, benefits, limits, trends, market growth rate, and figures. SWOT analysis is also incorporated in the report along with speculation attainability investigation and venture return investigation.
About UpMarketResearch:Up Market Research (https://www.upmarketresearch.com) is a leading distributor of market research report with more than 800+ global clients. As a market research company, we take pride in equipping our clients with insights and data that holds the power to truly make a difference to their business. Our mission is singular and well-defined we want to help our clients envisage their business environment so that they are able to make informed, strategic and therefore successful decisions for themselves.
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Encryption Management Solutions Market Trends, Size, Share, Status, Analysis And Forecast To 2025 - The News Brok
Cloud Encryption Market Insights Business Opportunities, Current Trends And Restraints Forecast 2026 – Reports Watch
Cloud Encryption Market research report provides insightful information about the Global Cloud Encryption Market for the base year 2019 and the forecast between 2020 and 2026. The market value, market share, market size, and revenue have been estimated based on the product types, application outlook, and regional segmentation of the industry. The analysis of the key segments of the industry has been provided for the global and regional markets.
The impact of the COVID-19 pandemic has been observed across all the sectors in all the industries. The economic landscape has been dynamically altered owing to the crisis, and a change in the demands and trends has also been observed. The report studies the impact of COVID-19 on the market and analyses the key changes in the trends and growth patterns. It also provides an estimation of the current and future impact of COVID-19 on the overall growth of the industry.
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The report gives a comprehensive analysis of the Cloud Encryption market at the global and regional level, and the forecast has been presented in terms of value and price for the period of 8 years from 2020-2027. The report covers an extensive study of the market drivers and restraints on the global scale and provides an impact analysis of those market drivers and restraints on the demand and supply ratio for the Cloud Encryption market throughout the forecast period.
The report covers extensive analysis of the key market players in the market, along with their business overview, expansion plans, and strategies. The key players studied in the report include:
Sophos Group Plc., Thales e-Security, Gemalto N.V., Skyhigh Networks, Symantec Corporation, CipherCloud, Netskope Inc., Trend Micro Incorporated, HyTrust Inc., and Vaultive Inc., among others.
The report on the Cloud Encryption market provides a deeper understanding and a comprehensive view of the Cloud Encryption business sphere. Porters Five Forces Analysis and SWOT analysis have been covered by the report to provide relevant data on the competitive landscape. The study also covers the market analysis, and an in-depth analysis of the application segment is offered based on their market size, rate of growth, and trends.
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The research report is an investigative study providing a conclusive view of the Cloud Encryption business sphere by an in-depth segmentation of the market into key applications, types, and regions. These segments are analyzed on the basis of present, emerging, and future trends. The regional segmentation provides a current and gives demand estimation for the Cloud Encryption industry in the key regions of North America, Europe, Asia Pacific, Latin America, and Middle East & Africa.
Component Type Outlook Revenue, USD Billion; 2016-2026)
Service Type Outlook (Revenue, USD Billion; 2016-2026)
Deployment Outlook (Revenue, USD Billion; 2016-2026)
End-Users Outlook (Revenue, USD Billion; 2016-2026)
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Cloud Encryption Market Insights Business Opportunities, Current Trends And Restraints Forecast 2026 - Reports Watch
9 ways to build privacy into cloud applications – Reseller News
Privacy is one of those nebulous ideas that everyone loves. Delivering it, though, is a job thats full of nuance and tradeoffs.
Turn the dial too far to one side and the databases are useless. Turn it too far in the other direction and everyone is upset about your plan to install camera arrays in their shower to automatically reorder soap.
The good news is that there is a dial to turn. In the early days, everyone assumed that there was just a switch. One position delivered all of the wonderful magic of email, online ordering, and smartphones. The other position was the cash-only world of living off the grid in a cabin wearing an aluminum foil hat.
Privacy enhancing technologies let you control how much privacy to support but limit that control to preserve functionality. They mix in encryption functions with clever algorithms to build databases that can answer some questions correctly but only for the right people.
In my book, Translucent Databases, I explored building a babysitter scheduling service that could let parents book babysitters without storing personal information in the central database. The parents and babysitters could get the correct answer from the database, but any attacker or insider with root privileges would get only scrambled noise.
The field has grown dramatically over the years and there are now a number of approaches and strategies that do a good job of protecting many facets of our personal lives. They store just enough information for businesses to deliver products while avoiding some of the obvious dangers that can appear if hackers or insiders gain access.
The approaches all have their limits. They will defend against the most general attacks but some start to crumble if the attackers are better equipped or the attacks are more targeted. Often the amount of protection is proportional to the amount of computation power required for the encryption calculations. Basic protections may not add noticeable extra load to the system, but providing perfect security may be out of reach for even the cloud companies.
But these limits shouldnt stop us from adding the basic protections. The perfectly secure approach may not be out there, but adding some of these simpler solutions can protect everyone against some of the worst attacks that can be enabled by the new cloud services.
Here are nine strategies for balancing privacy with functionality.
Use the features
The cloud providers understand that customers are nervous about security and theyve slowly added features that make it easier to lock up your data. Amazon, for instance, offers more than two dozen products that help add security. The AWS Firewall Managerhelps make sure the firewalls let in only the right packets.
AWS Macie will scan your data looking for sensitive data thats too open. Google Cloud and Microsoft Azure have their own collections of security tools. Understanding all of these products may take a team but its the best place to start securing your cloud work.
Watch the secrets
Securing the passwords, encryption keys, and authentication parameters is hard enough when were just locking down our desktops. Its much trickier with cloud machines, especially when theyre managed by a team.
A variety of different tools are designed to help. Youve still got to be careful with source code management, but the tools will help juggle the secrets so they can be added to the cloud machines safely. Tools like Hashicorps Vault, Dopplers Enclave, AWSs Key Management System, and Oktas API management tools are just some of the options that simplify the process. All still require some care but they are better than writing down passwords in a little notebook and locking it in someones office.
Consider dedicated hardware
Its hard to know how paranoid to be about sharing computer hardware with others. Its hard to believe that an attacker may finagle a way to share the right machine and then exploit some of the different extreme approaches like rowhammer, but some data might be worth the hard work.
The cloud companies offer dedicated hardware just for occasions like this. If your computing load is fairly constant, it may even make economic sense to use local servers in your own building. Some embrace the cloud companys hybrid tools and others want to set up their own machines. In any case, taking complete control of a computer is more expensive than sharing, but it rules out many attacks.
Hashing
One of the simplest solutions is to use a one-way function to hide personal information. These mathematical functions are designed to be easy to compute but practically impossible to reverse. If you replace someones name with f(name), someone browsing the database will only see the random encrypted noise that comes out of the one-way function.
This data may be inscrutable to casual browsers, but it can still be useful. If you want to search for Bobs records, you can compute f(Bob) and use this scrambled value in your query.
This approach is secure against casual browsers who may find an interesting row in a database and try to unscramble the value of f(name). It wont stop targeted browsing by attackers who know they are looking for Bob. More sophisticated approaches can add more layers of protection.
The most common one-way functions may be the Secure Hash Algorithmor SHA, a collection of functions approved by the US National Institute of Standards and Technology. There are several different versions, and some weaknesses have been found in the earlier versions, so make sure you use a new one.
Pure encryption
Good encryption functions are built into many layers of the operating system and file system. Activating them is a good way to add some basic security against low-level attackers and people who might gain physical access to your device. If youre storing data on your laptop, keeping it encrypted saves some of the worry if you lose the machine.
Regular encryption functions, though, are not one-way. Theres a way to unscramble the data. Choosing regular encryption is often unavoidable because youre planning on using the data, but it leaves another pathway for the attackers. If you can apply the right key to unscramble the data, they can find a copy of that key and deploy it too. Make sure you read the section above about guarding secrets.
Fake data
While some complain about fake news corrupting the world, fake data has the potential to protect us. Instead of opening up the real data set to partners or insiders who need to use it for projects like AI training or planning, some developers are creating fake versions of the data that have many of the same statistical properties.
RTI, for instance, created a fake version of the US Census complete with more than 110 million households holding more than 300 million people.
Theres no personal information of real Americans but the 300 million fake people are more or less in the same parts of the country and their personal details are pretty close to the real information. Researchers predictingthe path of infectious diseases were able to study the US without access to real personal data.
An AI company, Hazy, is delivering a Python-based tool that will run inside secure data centers and produce synthetic versions of your data that you can share more freely.
Differential privacy
The term describes a general approach to adding just enough noise to the data to protect the private information in the data set while still leaving enough information to be useful. Adding or subtracting a few years to everyones age at random, for instance, will hide the exact birth years of the people but the average wont be affected.
The approach is most useful for larger statistical work that studies groups in aggregate. The individual entries may be corrupted by noise, but the overall results are still accurate.
Microsoft has started sharing White Noise, an open source tool built with Rust and Python, for adding a finely tuned amount of noise to your SQL queries.
Homomorphic encryption
Most encryption algorithms scramble the data so completely that no one can make any sense of the results without the proper key. Homomorphic approaches use a more sophisticated framework so that many basic arithmetic operations can be done on the encrypted data without the key. You can add or multiply without knowing the underlying information itself.
The simplest schemes are practical but limited. Chapter 14 ofTranslucent Databasesdescribes simple accounting tools that can, for instance, support addition but not multiplication. More complete solutions can compute more arbitrary functions, but only after much more expensive encryption.
IBM is now sharing an open source toolkitfor embedding homomorphic encryption in iOS and MacOS applications with the promise that versions for Linux and Android will be coming soon. The tools are preliminary, but they offer the ability to explore calculations as complicated as training a machine learning model without access to the unencrypted data.
Keep nothing
Programmers may be packrats who keep data around in case it can be useful for debugging later. One of the simplest solutions is to design your algorithms to be as stateless and log-free as possible. Once the debugging is done, quit filling up the disk drives with lots of information. Just return the results and stop.
Keeping as little information as possible has dangers. Its harder to detect abuse or fix errors. But on the flip side, you dont need to worry about attackers gaining access to this digital flotsam and jetsam. They cant attack anyones personal data if it doesnt exist.
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9 ways to build privacy into cloud applications - Reseller News
Russia’s New Blockchain Voting System Isn’t Ready, but It’ll Be Used This Month Anyway – Business Blockchain HQ
Russias new blockchain-based voting system needs more work before it can be used in nationwide elections, according to the nations Central Election Commission.
While recent user tests were promising, the commission concluded improvements are still needed regarding how voters are identified, Russian newspaper Kommersant reported Tuesday.
The e-voting system is built on the enterprise version of the Waves blockchain and was developed under the auspices of the state-backed telecommunications giant Rostelecom, as CoinDesk has reported. The blockchains nodes will be hosted on the companys servers.
Despite the issues, the solution will be used for remote voting during by-elections for seats in the national parliament on Sept. 13 in two Russian regions: Kurskaya oblast and Yaroslavskaya oblast. About 15,000 people have already registered to vote electronically, and some 3,500 participated in the test, Ella Pamfilova, head of the Central Election Commission, told Kommersant.
The solution is built with some technologies that have not been battle-tested yet, a source in the election commission told Kommersant. For example, the system uses homomorphic encryption, so votes remain encrypted until the voting is over. Only the final result can be then decrypted, they said.
However, the encryption tech poses a challenge for checking the identity of voters, a problem that still needs to be resolved.
Sergey Prilutsky, cybersecurity expert and co-founder of blockchain startup MixBytes, said homomorphic encryption is indeed better than the type used during electronic voting in Moscow this summer. Even so, it could still potentially allow the authorities to meddle with the results if they control the list of voters, he said.
Waves Enterprise Chief Product Officer Artem Kalikhov told CoinDesk the system allows observers to watch how many electronic ballots have been issued in real time, helping prevent possible manipulation.
However, this type of encryption algorithm cannot currently be certified in Russia, meaning it cant pass the lengthy and complicated procedure necessary for government blockchain systems, Prilutsky said.
It uses elliptic curves that are not considered secure by the FSB, he said. The FSB is the Federal Security Service, a counter-intelligence agency in charge of certifying encryption tools in Russia.
Kalikhov said the solution has yet to be certified, though the company is working on it. Some other components of the system, like the electronic signature, have already been certified by the FSB, he said.
While the need to certify the homomorphic encryption aspect of the system could potentially hold up development, Kalikhov said it was unlikely to be an issue.
The Central Election Commission has already tested the blockchain voting system several times, according to Kalikhov said, but this was the first time real future voters were involved. Previous tests were run by Rostelecom and involved government staff, he added.
According to Rostelecom spokesperson Natalia Bakrenko, the system is being constantly enhanced, and the voting in two regions this autumn will be the first step toward a nationwide expansion.
Encryption and endpoint control: the heroes of post-lockdown data security – TEISS
Remote working is still the norm within many organisations, and will become a permanent model for some, potentially increasing cyber-risk at a time when regulatory powers grow ever stronger. Against this backdrop, organisations are increasingly turning towards the encryption of data, along with additional endpoint controls, to manage risk.
Even with appropriate security software and firewalls in place, the human threat persists. In Apricorns annual survey into organisations attitudes towards data breaches, more than half (57 percent) ofUK IT decision makerssaid they expect remote workers to expose their organisation to the risk of a data breach. Employees unintentionally putting data at risk remains the leading cause of a data breach, with lost or misplaced devices the second biggest cause.
More and more organisations are mitigating these concerns by implementing greater data encryption and strengthening endpoint controls.
Locking down the data
When asked whether theyd seen an increase in the implementation of encryption in their organisation since GDPR was enforced, 41% of survey respondents said they had.
Legislation hasnt taken a break over lockdown either, and data encryption a simple step towards GDPR compliance by safeguarding personal data. The regulation has clear mandates for encryption within Article 32, while Article 34 removes the obligation to individually inform each citizen affected by a data breach if encryption has been applied. Article 83 suggests that fines will be moderated where a company can show it has been responsible and mitigated damage suffered by data subjects.
The first step to ensuring data is encrypted as standard across the organisation is to enshrine the requirement in company security policy and enforce it wherever possible through technology. Two thirds of IT leaders said their organisation now has a policy of hardware encrypting all information, whether its at rest or in transit. Nearly all (94 percent) have a policy that requires encryption of all data held on removable media such as USB sticks and portable hard drives a big rise from 66 percent in 2019. Of these, 57 percent use hardware encryption, which is seen as the gold standard.
Hardware encryption offers much greater security than software encryption and PIN pad authenticated, hardware encrypted USB storage devices offer additional, significant benefits. Being software-free eliminates the risk of software hacking and keylogging; all authentication and encryption processes take place within the device itself, so passwords and key data are never shared with a host computer. This makes it particularly suited for use in highly regulated sectors such as defence, finance, government and healthcare.
By deploying removable storage devices with built-in hardware encryption, a business can roll this approach out across the workforce, ensuring all data can be stored or moved around safely offline. Even if the device is lost or stolen, the information will be unintelligible to anyone not authorised to access it.
Locking down the endpoint
With employees typically using a mix of personal and corporate devices to access data, systems and networks, businesses need to have confidence that the endpoint as well as the data is secure.
Every organisation should cover the use of employees own IT equipment for mobile and remote working in their information security strategy. Forty two percent of UK IT leaders say that their organisations only permit the use of corporate IT provisioned or approved devices, and have strict security measures in place to enforce this with endpoint control, a huge rise compared with 11 percent in 2019.
There is room for improvement in this area, however: 6% of organisations dont cover shadow IT in their information security strategy, while 7% tell employees theyre not allowed to use removable media, but dont have technology in place to prevent this.
At a time when such a large proportion of the workforce is operating outside the confines and relative safety of the office and corporate network, any holes in security policy will create unacceptable risk. All organisations must recognise the importance of endpoint controls and hardware encryption and how they can work together to help comply with data protection regulations and reduce the potential for a breach.
This is more critical than ever: the new societal values shaped by COVID-19 have thrown the importance of doing business responsibly into sharp focus. Preventing a data breach will not only mitigate against the financial costs, it will also protect an organisations reputation and the trust of its customers.
Author: Jon Fielding, managing director EMEA, Apricorn
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Encryption and endpoint control: the heroes of post-lockdown data security - TEISS
Global Encryption Software Market 2020: Industry Analysis by Size, Share, Demand, Growth rate and Forecasts Till 2025 – The News Brok
This report focuses on the global Encryption Software status, future forecast, growth opportunity, key market and key players. The study objectives are to present the Encryption Software development in United States, Europe and China.
In 2017, the global Encryption Software market size was million US$ and it is expected to reach million US$ by the end of 2025, with a CAGR of during 2018-2025.
The key players covered in this study
IBM
Microsoft
Sophos Ltd
Gemalto
Net App Inc
Hewlett- Packard
Vormetric
Oracle
Intel
Symantec
Market segment by Type, the product can be split into
Encryption for Data-at-rest
Full Disc Encryption (FDE)
File Level Encryption
Others
Market segment by Application, split into
IT & Telecom
BFSI
Government & Public Utilities
Manufacturing Enterprise
Others
Market segment by Regions/Countries, this report covers
United States
Europe
China
Japan
Southeast Asia
India
Central & South America
The study objectives of this report are:
To analyze global Encryption Software status, future forecast, growth opportunity, key market and key players.
To present the Encryption Software development in United States, Europe and China.
To strategically profile the key players and comprehensively analyze their development plan and strategies.
To define, describe and forecast the market by product type, market and key regions.
In this study, the years considered to estimate the market size of Encryption Software are as follows:
History Year: 2013-2017
Base Year: 2017
Estimated Year: 2018
Forecast Year 2018 to 2025
For the data information by region, company, type and application, 2017 is considered as the base year. Whenever data information was unavailable for the base year, the prior year has been considered.
Table of Contents
Chapter One: Report Overview
1.1 Study Scope
1.2 Key Market Segments
1.3 Players Covered
1.4 Market Analysis by Type
1.4.1 Global Encryption Software Market Size Growth Rate by Type (2013-2025)
1.4.2 Encryption for Data-at-rest
1.4.3 Full Disc Encryption (FDE)
1.4.4 File Level Encryption
1.4.5 Others
1.5 Market by Application
1.5.1 Global Encryption Software Market Share by Application (2013-2025)
1.5.2 IT & Telecom
1.5.3 BFSI
1.5.4 Government & Public Utilities
1.5.5 Manufacturing Enterprise
1.5.6 Others
1.6 Study Objectives
1.7 Years Considered
Chapter Two: Global Growth Trends
2.1 Encryption Software Market Size
2.2 Encryption Software Growth Trends by Regions
2.2.1 Encryption Software Market Size by Regions (2013-2025)
2.2.2 Encryption Software Market Share by Regions (2013-2018)
2.3 Industry Trends
2.3.1 Market Top Trends
2.3.2 Market Drivers
2.3.3 Market Opportunities
Chapter Three: Market Share by Key Players
3.1 Encryption Software Market Size by Manufacturers
3.1.1 Global Encryption Software Revenue by Manufacturers (2013-2018)
3.1.2 Global Encryption Software Revenue Market Share by Manufacturers (2013-2018)
3.1.3 Global Encryption Software Market Concentration Ratio (CRChapter Five: and HHI)
3.2 Encryption Software Key Players Head office and Area Served
3.3 Key Players Encryption Software Product/Solution/Service
3.4 Date of Enter into Encryption Software Market
3.5 Mergers & Acquisitions, Expansion Plans
Chapter Four: Breakdown Data by Type and Application
4.1 Global Encryption Software Market Size by Type (2013-2018)
4.2 Global Encryption Software Market Size by Application (2013-2018)
Chapter Five: United States
5.1 United States Encryption Software Market Size (2013-2018)
5.2 Encryption Software Key Players in United States
5.3 United States Encryption Software Market Size by Type
5.4 United States Encryption Software Market Size by Application
Chapter Six: Europe
6.1 Europe Encryption Software Market Size (2013-2018)
6.2 Encryption Software Key Players in Europe
6.3 Europe Encryption Software Market Size by Type
6.4 Europe Encryption Software Market Size by Application
Chapter Seven: China
7.1 China Encryption Software Market Size (2013-2018)
7.2 Encryption Software Key Players in China
7.3 China Encryption Software Market Size by Type
7.4 China Encryption Software Market Size by Application
Chapter Eight: Japan
Techdirt Podcast Episode 252: The Key To Encryption – Techdirt
from the or-lack-thereof dept
This week we've got another cross-post, with the latest episode of The Neoliberal Podcast from the Progressive Policy Institute. Host Jeremiah Johnson invited Mike, along with PPI's Alec Stapp, to discuss everything about encryption: the concept itself, the attempts at laws and regulations, and more.
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Filed Under: alec stapp, encryption, jeremiah johnson, podcast
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Techdirt Podcast Episode 252: The Key To Encryption - Techdirt
Researchers Develop Attacks Targeting End-to-End Encryption in Emails – Decipher
Attack Types
Researchers were able to show how an adversary could automatically install certificates contained in S/MIME communications. For example, the researchers identified a design flaw in a clients key update mechanism which could be abused to replace the public keys used in encrypted S/MIME communications. The researchers were able to silently replace the encryption key for six S/MIME-supporting email clients.
A man-in-the-middle attack would involve an internet or email provider, or a compromised SMTP or IMAP server.
Email clients could also be tricked into into decrypting ciphertext messages or signing arbitrary messages and then sending them to an IMAP server controlled by the attacker. For three OpenPGP-capable clients, the researchers exfiltrated the plaintext to an IMAP server controlled by an attacker, or misused the clients as signing oracles.
The researchers tested 20 popular email clients, supporting either S/MIME or OpenPGP, from a list of more than 50 clients across major platforms (Windows, Linux, macOS, Android, and iOS), as well as web-based applications. As the table (Table 2 from the paper) shows, researchers were able to replace the keys in the Windows versions of Microsoft Outlook. "For Microsoft Outlook, we could verify theexistence of this dangerous feature since at least Outlook 2007," the researchers wrote.
An evaluation shows that 8 out of 20 tested email clients are vulnerable to at least one attack, the researchers found. More specifically, five out of 18 OpenPGP-capable email clients and six out of 18 S/MIME-capable clients were vulnerable to at least one attack.
The researchers were also able to abuse the mailto: URI method, which allows third-party applications to open a separate email client to compose a message, to secretly attach local files to email messages and sent to an attackers address. The mailto method is often used on websites, where clicking on a link can launch the locally installed email client with the recipient field (To) pre-populated with the email address the message is going to. It is possible to pre-populate other fields, such as a subject line and even the body of the message.
The issue lies in how email clients implemented RFC6068, the technical standard describing mailto. The researchers found that several standard parameters the mailto URI passes to the email client could be abused to trick the email client into decrypting ciphertext messages, or signing messages and sending them to attackers, the researchers said. One example of this is how the mailto method uses the attach or attachment parameters to open up an email window with a file already attached. If the user does not notice that the email window has the file attached, the user could inadvertently send sensitive information such as encryption (PGP) keys, SSH private keys, configuration files, and other sensitive information.
Researcher Mller posted a video on Twitter illustrating how mailto parameters could be abused. The researchers were able to perform this attack on four of the tested clients.
The researchers were able to attach files by knowing the exact file paths for the desired files, using wildcard characters to attach multiple files in a given location, or using URLs pointing to internal network shares. They were also able to use IMAP links to steal email messages from a user's IMAP email inbox.
The vulnerabilities have been reported to the affected vendors back in February. The list includes IBM/HCL Notes (CVE-2020-4089), GNOME Evolution (CVE-2020-11879), and KDE KMail (CVE-2020-11880). The details for CVE-2020-12618, and CVE-2020-12619 have not been made public. Thunderbird versions 52 and 60 for Debian/Kali Linux were affected as they had problems with the mailto parameter allowing local files (such as an SSH private key) to be attached to outgoing messages. Recent versions of Thunderbird are not vulnerable, as the issue with the mailto?attach= parameter was fixed in Thunderbird last year.
While our attacks do not target the underlying cryptographic primitives, they raise concerns about the practical security of OpenPGP and S/MIME email applications, the researchers wrote.
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Researchers Develop Attacks Targeting End-to-End Encryption in Emails - Decipher
Analyzing Impacts Of COVID-19 On Data Encryption Market Effects, Aftermath And Forecast To 2026 – The Daily Chronicle
The global Data Encryption market focuses on encompassing major statistical evidence for the Data Encryption industry as it offers our readers a value addition on guiding them in encountering the obstacles surrounding the market. A comprehensive addition of several factors such as global distribution, manufacturers, market size, and market factors that affect the global contributions are reported in the study. In addition the Data Encryption study also shifts its attention with an in-depth competitive landscape, defined growth opportunities, market share coupled with product type and applications, key companies responsible for the production, and utilized strategies are also marked.
This intelligence and 2026 forecasts Data Encryption industry report further exhibits a pattern of analyzing previous data sources gathered from reliable sources and sets a precedented growth trajectory for the Data Encryption market. The report also focuses on a comprehensive market revenue streams along with growth patterns, analytics focused on market trends, and the overall volume of the market.
Download PDF Sample of Data Encryption Market report @ https://hongchunresearch.com/request-a-sample/15986
The study covers the following key players:Symantec Corporation (U.S.)IBM Corporation (U.S.)Vormetric Inc. (U.S.)Intel Security (U.S.)OthersOracle Corporation (U.S.)HP (U.S.)FireEye, Inc. (U.S.)Netapp Inc. (U.S.)Gemalto (Netherlands)Microsoft Corporation, (U.S.)
Moreover, the Data Encryption report describes the market division based on various parameters and attributes that are based on geographical distribution, product types, applications, etc. The market segmentation clarifies further regional distribution for the Data Encryption market, business trends, potential revenue sources, and upcoming market opportunities.
Market segment by type, the Data Encryption market can be split into,File System EncryptionApplication Level Encryption
Market segment by applications, the Data Encryption market can be split into,BFSIHealthcareGovernmentTelecom & ITRetail
The Data Encryption market study further highlights the segmentation of the Data Encryption industry on a global distribution. The report focuses on regions of North America, Europe, Asia, and the Rest of the World in terms of developing business trends, preferred market channels, investment feasibility, long term investments, and environmental analysis. The Data Encryption report also calls attention to investigate product capacity, product price, profit streams, supply to demand ratio, production and market growth rate, and a projected growth forecast.
In addition, the Data Encryption market study also covers several factors such as market status, key market trends, growth forecast, and growth opportunities. Furthermore, we analyze the challenges faced by the Data Encryption market in terms of global and regional basis. The study also encompasses a number of opportunities and emerging trends which are considered by considering their impact on the global scale in acquiring a majority of the market share.
The study encompasses a variety of analytical resources such as SWOT analysis and Porters Five Forces analysis coupled with primary and secondary research methodologies. It covers all the bases surrounding the Data Encryption industry as it explores the competitive nature of the market complete with a regional analysis.
Brief about Data Encryption Market Report with [emailprotected]https://hongchunresearch.com/report/data-encryption-market-15986
Some Point of Table of Content:
Chapter One: Data Encryption Market Overview
Chapter Two: Global Data Encryption Market Landscape by Player
Chapter Three: Players Profiles
Chapter Four: Global Data Encryption Production, Revenue (Value), Price Trend by Type
Chapter Five: Global Data Encryption Market Analysis by Application
Chapter Six: Global Data Encryption Production, Consumption, Export, Import by Region (2014-2019)
Chapter Seven: Global Data Encryption Production, Revenue (Value) by Region (2014-2019)
Chapter Eight: Data Encryption Manufacturing Analysis
Chapter Nine: Industrial Chain, Sourcing Strategy and Downstream Buyers
Chapter Ten: Market Dynamics
Chapter Eleven: Global Data Encryption Market Forecast (2019-2026)
Chapter Twelve: Research Findings and Conclusion
Chapter Thirteen: Appendix continued
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List of tablesList of Tables and FiguresFigure Data Encryption Product PictureTable Global Data Encryption Production and CAGR (%) Comparison by TypeTable Profile of File System EncryptionTable Profile of Application Level EncryptionTable Data Encryption Consumption (Sales) Comparison by Application (2014-2026)Table Profile of BFSITable Profile of HealthcareTable Profile of GovernmentTable Profile of Telecom & ITTable Profile of RetailFigure Global Data Encryption Market Size (Value) and CAGR (%) (2014-2026)Figure United States Data Encryption Revenue and Growth Rate (2014-2026)Figure Europe Data Encryption Revenue and Growth Rate (2014-2026)Figure Germany Data Encryption Revenue and Growth Rate (2014-2026)Figure UK Data Encryption Revenue and Growth Rate (2014-2026)Figure France Data Encryption Revenue and Growth Rate (2014-2026)Figure Italy Data Encryption Revenue and Growth Rate (2014-2026)Figure Spain Data Encryption Revenue and Growth Rate (2014-2026)Figure Russia Data Encryption Revenue and Growth Rate (2014-2026)Figure Poland Data Encryption Revenue and Growth Rate (2014-2026)Figure China Data Encryption Revenue and Growth Rate (2014-2026)Figure Japan Data Encryption Revenue and Growth Rate (2014-2026)Figure India Data Encryption Revenue and Growth Rate (2014-2026)Figure Southeast Asia Data Encryption Revenue and Growth Rate (2014-2026)Figure Malaysia Data Encryption Revenue and Growth Rate (2014-2026)Figure Singapore Data Encryption Revenue and Growth Rate (2014-2026)Figure Philippines Data Encryption Revenue and Growth Rate (2014-2026)Figure Indonesia Data Encryption Revenue and Growth Rate (2014-2026)Figure Thailand Data Encryption Revenue and Growth Rate (2014-2026)Figure Vietnam Data Encryption Revenue and Growth Rate (2014-2026)Figure Central and South America Data Encryption Revenue and Growth Rate (2014-2026)Figure Brazil Data Encryption Revenue and Growth Rate (2014-2026)Figure Mexico Data Encryption Revenue and Growth Rate (2014-2026)Figure Colombia Data Encryption Revenue and Growth Rate (2014-2026)Figure Middle East and Africa Data Encryption Revenue and Growth Rate (2014-2026)Figure Saudi Arabia Data Encryption Revenue and Growth Rate (2014-2026)Figure United Arab Emirates Data Encryption Revenue and Growth Rate (2014-2026)Figure Turkey Data Encryption Revenue and Growth Rate (2014-2026)Figure Egypt Data Encryption Revenue and Growth Rate (2014-2026)Figure South Africa Data Encryption Revenue and Growth Rate (2014-2026)Figure Nigeria Data Encryption Revenue and Growth Rate (2014-2026)Figure Global Data Encryption Production Status and Outlook (2014-2026)Table Global Data Encryption Production by Player (2014-2019)Table Global Data Encryption Production Share by Player (2014-2019)Figure Global Data Encryption Production Share by Player in 2018Table Data Encryption Revenue by Player (2014-2019)Table Data Encryption Revenue Market Share by Player (2014-2019)Table Data Encryption Price by Player (2014-2019)Table Data Encryption Manufacturing Base Distribution and Sales Area by PlayerTable Data Encryption Product Type by PlayerTable Mergers & Acquisitions, Expansion PlansTable Symantec Corporation (U.S.) ProfileTable Symantec Corporation (U.S.) Data Encryption Production, Revenue, Price and Gross Margin (2014-2019)Table IBM Corporation (U.S.) ProfileTable IBM Corporation (U.S.) Data Encryption Production, Revenue, Price and Gross Margin (2014-2019)Table Vormetric Inc. (U.S.) ProfileTable Vormetric Inc. (U.S.) Data Encryption Production, Revenue, Price and Gross Margin (2014-2019)Table Intel Security (U.S.) ProfileTable Intel Security (U.S.) Data Encryption Production, Revenue, Price and Gross Margin (2014-2019)Table Others ProfileTable Others Data Encryption Production, Revenue, Price and Gross Margin (2014-2019)Table Oracle Corporation (U.S.) ProfileTable Oracle Corporation (U.S.) Data Encryption Production, Revenue, Price and Gross Margin (2014-2019)Table HP (U.S.) ProfileTable HP (U.S.) Data Encryption Production, Revenue, Price and Gross Margin (2014-2019)Table FireEye, Inc. (U.S.) ProfileTable FireEye, Inc. (U.S.) Data Encryption Production, Revenue, Price and Gross Margin (2014-2019)Table Netapp Inc. (U.S.) ProfileTable Netapp Inc. (U.S.) Data Encryption Production, Revenue, Price and Gross Margin (2014-2019)Table Gemalto (Netherlands) ProfileTable Gemalto (Netherlands) Data Encryption Production, Revenue, Price and Gross Margin (2014-2019)Table Microsoft Corporation, (U.S.) ProfileTable Microsoft Corporation, (U.S.) Data Encryption Production, Revenue, Price and Gross Margin (2014-2019)Table Global Data Encryption Production by Type (2014-2019)Table Global Data Encryption Production Market Share by Type (2014-2019)Figure Global Data Encryption Production Market Share by Type in 2018Table Global Data Encryption Revenue by Type (2014-2019)Table Global Data Encryption Revenue Market Share by Type (2014-2019)Figure Global Data Encryption Revenue Market Share by Type in 2018Table Data Encryption Price by Type (2014-2019)Figure Global Data Encryption Production Growth Rate of File System Encryption (2014-2019)Figure Global Data Encryption Production Growth Rate of Application Level Encryption (2014-2019)Table Global Data Encryption Consumption by Application (2014-2019)Table Global Data Encryption Consumption Market Share by Application (2014-2019)Table Global Data Encryption Consumption of BFSI (2014-2019)Table Global Data Encryption Consumption of Healthcare (2014-2019)Table Global Data Encryption Consumption of Government (2014-2019)Table Global Data Encryption Consumption of Telecom & IT (2014-2019)Table Global Data Encryption Consumption of Retail (2014-2019)Table Global Data Encryption Consumption by Region (2014-2019)Table Global Data Encryption Consumption Market Share by Region (2014-2019)Table United States Data Encryption Production, Consumption, Export, Import (2014-2019)Table Europe Data Encryption Production, Consumption, Export, Import (2014-2019)Table China Data Encryption Production, Consumption, Export, Import (2014-2019)Table Japan Data Encryption Production, Consumption, Export, Import (2014-2019)Table India Data Encryption Production, Consumption, Export, Import (2014-2019)Table Southeast Asia Data Encryption Production, Consumption, Export, Import (2014-2019)Table Central and South America Data Encryption Production, Consumption, Export, Import (2014-2019)continued
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Analyzing Impacts Of COVID-19 On Data Encryption Market Effects, Aftermath And Forecast To 2026 - The Daily Chronicle