miércoles, 22 de abril de 2020

Why Receipt Notifications Increase Security In Signal

This blog post is aimed to express and explain my surprise about Signal being more secure than I thought (due to receipt acknowledgments). I hope you find it interesting, too.

Signal, and especially its state update protocol, the Double Ratchet algorithm, are widely known for significantly increasing security for instant messaging. While most users first see the end-to-end security induced by employing Signal in messaging apps, the properties achieved due to ratcheting go far beyond protecting communication against (active) attackers on the wire. Due to updating the local device secrets via the Double Ratchet algorithm, the protocol ensures that attackers, who temporarily obtain a device's local storage (on which Signal runs), only compromise confidentiality of parts of the communications with this device. Thus, the leakage of local secrets from a device only affects security of a short frame of communication. The exact duration of compromise depends on the messaging pattern among the communicating parties (i.e., who sends and receives when), as the state update is conducted during the sending and receiving of payload messages.


The Double Ratchet

The Double Ratchet algorithm consists of two different update mechanisms: the symmetric ratchet and the asymmetric ratchet. The former updates symmetric key material by hashing and then overwriting it with the hash output (i.e.,  k:=H(k)). Thus, an attacker, obtaining key material can only predict future versions of the state but, due to the one-wayness of the hash function, cannot recover past states. The asymmetric ratchet consists of Diffie-Hellman key exchanges (DHKE). If, during the communication, party A receives a new DH share gb as part of a message from the communication partner B, then A samples a new DH exponent a and responds with the respective DH share ga in the next sent message. On receipt of this DH share, B will again sample a new DH exponent b' and attach the DH share gb' to the next message to A. With every new DH share, a new DHKE gab is computed among A and B and mixed into the key material (i.e., k:=H(k,gab)). For clarity, I leave out a lot of details and accuracy. As new DH shares ga and gb are generated from randomly sampled DH exponents a and b, and the computation of gab is hard if neither a nor b are known, the key material recovers from an exposure of the local secrets to an attacker after a new value gab was freshly established and mixed into it. Summing up this mechanism, if an attacker obtains the local state of a Signal client, then this attacker cannot recover any previously received message (if the message itself was not contained in the local state), nor can it read messages that are sent after a new gab was established and mixed into the state. The latter case happens with every full round-trip among A and B (i.e., A receives from B, A sends to B, and A receives again from B).
Conceptual depiction of Double Ratchet in Signal two years ago (acknowledgments were only protected between client and server). The asymmetric ratchet fully updates the local secrets after one round-trip of payload messages.

Research on Ratcheting

During the last two years, the Signal protocol inspired the academic research community: First, a formal security proof of Signal was conducted [1] and then ratcheting was formalized as a generic primitive (independent of Signal) [2,3,4]. This formalization includes security definitions that are derived via 1. defining an attacker, 2. requiring security unless it is obvious that security cannot be reached. Protocols, meeting this optimal notion of security, were less performant than the Double Ratchet algorithm [3,4]. However, it became evident that the Double Ratchet algorithm is not as secure as it could be (e.g., recovery from exposure could be achieved quicker than after a full round-trip; see, e.g., Appendix G of our paper [3]). Afterwards, protocols (for slightly weakened security notions) were proposed that are similarly performant as Signal but also a bit more secure [5,6,7].

Protecting Acknowledgments ...

In our analysis of instant messaging group chats [8] two years ago (blog posts: [9,10]), we found out that none of the group chat protocols (Signal, WhatsApp, Threema) actually achieves real recovery from an exposure (thus the asymmetric ratchet is not really effective in groups; a good motivation for the MLS project) and that receipt acknowledgments were not integrity protected in Signal nor WhatsApp. The latter issue allowed an attacker to drop payload messages in transmission and forge receipt acknowledgments to the sender such that the sender falsely thinks the message was received. Signal quickly reacted on our report by treating acknowledgments as normal payload messages: they are now authenticated(-encrypted) using the Double Ratchet algorithm.

... Supports Asymmetric Ratchet

Two years after our analysis, I recently looked into the Signal code again. For a training on ratcheting I wanted to create an exercise for which the lines in the code should be found that execute the symmetric and the asymmetric ratchet respectively. Somehow I observed that the pure symmetric ratchet (only updates via hash functions) was nearly never executed (especially not when I expected it) when lively debugging the app but almost always new DH shares were sent or received. I realized that, due to encrypting the receipt acknowledgments now, the app always conducts full round-trips with every payload message. In order to observe the symmetric ratchet, I needed to temporarily turn on the flight mode on my phone such that acknowledgments are not immediately returned.
Conceptual depiction of Double Ratchet in Signal now (acknowledgments encrypted). The asymmetric ratchet fully updates the local secrets after an acknowledgment for a message is received.

Consequently, Signal conducts a full DHKE on every sent payload message (in case the receiving device is not offline) and mixes the result into the state. However, a new DH exponent is always already sampled on the previous receipt (see sketch of protocol above). Thus, the exponent for computing a DHKE maybe remained in the local device state for a while. In order to fully update the state's key material, two round-trips must be initiated by sending two payload messages and receiving the resulting two acknowledgments. Please note that not only the mandatory receipt acknowledgments are encrypted but also notifications on typing and reading a message.

If you didn't understand exactly what that means, here a tl;dr: If an attacker obtains your local device state, then with Signal all previous messages stay secure and (if the attacker does not immediately use these secrets to actively manipulate future conversations) all future messages are secure after you wrote two messages (and received receipt acknowledgments) in all of your conversations. Even though this is very (in practice certainly sufficiently) secure, recent protocols provide stronger security (as mentioned above) and it remains an interesting research goal to increase their performance.

[1] https://eprint.iacr.org/2016/1013.pdf
[2] https://eprint.iacr.org/2016/1028.pdf
[3] https://eprint.iacr.org/2018/296.pdf
[4] https://eprint.iacr.org/2018/553.pdf
[5] https://eprint.iacr.org/2018/889.pdf
[6] https://eprint.iacr.org/2018/954.pdf
[7] https://eprint.iacr.org/2018/1037.pdf
[8] https://eprint.iacr.org/2017/713.pdf
[9] https://web-in-security.blogspot.com/2017/07/insecurities-of-whatsapps-signals-and.html
[10] https://web-in-security.blogspot.com/2018/01/group-instant-messaging-why-baming.html

More information


USE OF CRYPTOGRAPHY IN HACKING

WHAT IS CRYPTOGRAPHY?

The process of transforming information into nonhuman readable form or vice versa is called cryptography.

Cryptography is the science of ciphering and deciphering messages.

                 
                            OR

Cryptography is a method of protecting information and communication through the use of codes so that only those whom the information is intended can read and process it.

In Computer Science, cryptography refers to secure information and communication techniques derived from mathematical concepts , a set of rule based calculations called algorithm to transform message in ways the hard to readable for human.


Information plays a vital role in running of business and organizations etc, information in the wrong hands can leads to loss of business.

To secure communication organizations use cryptology to cipher information .





Related articles

Top10 Java Script Blogs To Improve Coding Skills

10 Top JavaScript Blogs to Improve Coding Skills
 

The Best JavaScript Blogs

With two decades of improvement, JavaScript has become one of the most popular programming languages of all time. The journey started in 1995 when Brendan Eich created JavaScript in just 10 days. From there, it has seen multiple revisions, drafts, and growth in the form of frameworks, API's, modules, etc. Today, we will go forward and list the top JavaScript blogs from the internet so that you can enjoy the lastest development in the field of JavaScript.

According to RedMonk programming language rankings and GitHut.info, JavaScript is leading the pack in the terms of repositories and the most discussed programming language on StackOverFlow. The numbers itself speaks about the future of JavaScript as it has grown beyond the initial capabilities of simple DOM manipulations.

Learning JavaScript, on the other hand, can be a tricky proposition. New libraries, features, API's or Style Guide, pop up almost every day. The speed of iteration is beyond imagination, and that is why reading leading JavaScript blogs are the best approach to keep up with new changes.

Slack-clone-angularjs

JavaScript is blessed with experts that regularly contribute to the community using live streams, videos, blogs, podcasts, conferences and open source projects. An example of a cool experienced Javascript programmer is evilsoft who broadcasts awesome Javascript projects weekly on LiveEdu..

Some blogs are just gold even when they are not updated frequently. To help you reach the best content on JavaScript, let's list the best JavaScript blogs on the internet. The following blogs have a huge fan following and contain epic JavaScript content.

10 Top JavaScript Blogs to Improve Coding Skills

1. David Walsh Blog

David Walsh is a renowned name in the JavaScript world. He started his career with DZone, but his first real break came while working for SitePen as a Software Engineer. His blog composes of topics related to JavaScript, personal thoughts, guides and much more. The blog design is captivating and is going to hook you up on the first visit. Currently, he is working as a Senior Web Developer at Mozilla.

top javascript blogs

2. DailyJS

DailyJS is one of the best JavaScript blogs on the internet. The blog was started by Alex R. Young, an entrepreneur and Node.js expert in 2009. However, there are recent changes that don't sound great. Currently, the blog is no longer updated, but that does not make the content useless at all. The blog covers diverse content on JavaScript including frameworks, API's, libraries, etc.

2-daily-js

3. SitePoint

SitePoint is one of the leading web development portals since 2000. The main attraction of SitePoint is the collection of highly detailed articles. They are aimed at teaching something new to the readers. JavaScript, on the other hand, is one of the leading topics on the website where experts around the world contribute regularly. The rate of the new blog post is high, and you won't find a blog post that doesn't teach you something new. Truly, a great learning place for any JavaScript developer.

3-Sitepoint

4. JavaScript.com

Not technically a blog, but if you love JavaScript, then you need to follow the website's offerings. JavaScript.com news section is an aggregator for excellent JavaScript news, tutorials, guides, and much more. All you need to do is move to their news section and discover tons of new content surrounding JavaScript. The domain is owned by CodeSchool and is mainly utilized to contribute to the community and a landing page to their courses.

4-JavaScript

5. Brendan Eich

What's the best place to find JavaScript knowledge? The inventor? Well, you are right. Brendan Eich, the creator of JavaScript, keeps his blog with filled with his musings and other excellent thought processes about JavaScript. You can also find videos on the blog. Virtually, the blog is the mind of JavaScript where you understand it in an entirely different manner.

5-brendan-eich

6. JavaScript Playground

JavaScript Playground is yet another great place to get started with all the different JavaScript frameworks, API, and libraries. The focus is to work with the JavaScript ecosystem and provide high quality blog articles, screencast, and podcast for the audience. They also blog about different JavaScript guidelines, tips, and tricks.

6-JavaScript-Playground

7. Superhero.js

If you are looking for a superhero to fetch you the best resources on JavaScript, then you have finally found one. Superhero.js is a simple website that aims to collect everything related to JavaScript including videos, articles, presentations, etc. The content is divided into meaningful sections such as "Understanding JavaScript", "Organize Your Code", etc. Also, the page is regularly updated with new information.

7-superhero

8. JavaScript Jabber

Another "not a blog entry" into the list — JavaScript Jabber is a weekly podcast on JavaScript. Each podcast is around 1 hour of jabber and will sure have something for you to learn. They keep their tab on everything related to JavaScript, including core concepts to popular Framework discussions.

8-JavaScript-Jabber

9. Medium JavaScript Collection

Is medium a blog? Technically, not, but it contains high quality JavaScript articles. Medium is a way to connect to the audience so be ready to read many opinions on how JavaScript should have been, and what's wrong with JavaScript. Other than the ramblings, it hosts amazing JavaScript content such as Speed Up Web Apps.

9-JavaScript-collection-medium

10. Smashing Magazine

Smashing Magazine is one of the oldest websites covering web designing and development. They have a dedicated section for JavaScript, which is constantly updated with tutorials of high caliber. The tutorials surround other web development ideas such as UX, Productivity, etc.

10-smashing-magazine

Conclusion

Here are the ten best JavaScript blogs to improve your coding skills. The blogs and mix of other content types will help you to keep up with new changes in JavaScript field, and improve yourself accordingly.

If you are new to JavaScript and want to get started as soon as possible, check out the JavaScript learn section on LiveEdu.tv. And, yes, it is the most popular programming language on LiveEdu.tv which can benefit from your attention! Also, don't forget to leave a comment on how the JavaScript category page can be improved. We are listening!

Dr. Michael J. Garbade

About Author Dr. Michael Jurgen Garbade is the founder of LiveEdu.TV, Kyuda, Education Ecosystem. He is future Venture Capitalist, Future Politician and always on the lookout for the Next Big Challenge. Obtained Masters in business administration and physics, and a Ph.D. in finance with professional work experience in high-paced environments at Fortune 500 companies like Amazon and General Electric. Expertize: Python, PHP, Sencha Touch & C++, SEO, Finance, Strategy & E-commerce. He speaks English and German and has worked in the US, Europe, and Asia. At Education Ecosystem he is the CEO and runs business operations.

More information


  1. Google Hacking Database
  2. Hacking The System
  3. Elhacker Ip
  4. Hacking Wallpaper
  5. Geekprank Hacking
  6. Escuela Travel Hacking
  7. Cómo Se Escribe Hacker

martes, 21 de abril de 2020

5 Free Online Courses To Learn Artificial Intelligence

We are living in the era of fourth industrial revolution(4IR), where Artificial intelligence has a significant role to play. This 4IR technology embedded within societies and even into the human body. From Computer enthusiasts to common people, everyone should be aware and learn this breakthrough technology.
We think about gigantic Robots from Transformers when we hear about Artificial Intelligence(AI) which is a fiction in the past but a fact today, capable of transforming the whole tech world. The field of AI consists of more than Robots such as personal assistants, self-driving cars, apprenticeship learning, behavior cloning and so on. To learn about this advanced technology, thanks to the online learning resources which offers great content to get started with artificial intelligence.

Here are the 5 free e-learning courses on Artificial Intelligence

1. UC Berkeley CS188 Intro to AI

Get started with UC Berkeley AI course, this course is absolutely for beginners who are unaware of Artificial intelligence. It doesn't need any prior computer knowledge to know about AI. UC Berkeley allows anyone to learn this course for free. This course is systematically presented and consists of the following:
  • Course Schedule
  • Complete sets of Lecture Slides and Videos
  • Interface for Electronic Homework Assignments
  • Section Handouts
  • Specs for the Pacman Projects
  • Source files and PDFs of past Berkeley CS188 exams
  • Form to apply for edX hosted autograders for homework and projects (and more)
  • Contact information
Aside from this, you can also browse the following courses as well from UC Berkeley that are part of AI course:
  • Machine Learning: CS189, Stat154
  • Intro to Data Science: CS194-16
  • Probability: EE126, Stat134
  • Optimization: EE127
  • Cognitive Modeling: CogSci131
  • Machine Learning Theory: CS281A, CS281B
  • Vision: CS280
  • Robotics: CS287
  • Natural Language Processing: CS288

2. Artificial Intelligence: Principles and Techniques

This course is offered by Stanford with great content that includes topics, videos, assignments, projects, and exams. The whole course mainly focuses on the complex real-world problems and try to find similarity between web search, speech recognition, face recognition, machine translation, autonomous driving, and automatic scheduling. Here you will learn the foundational principles of AI and implement some the AI systems. The goal of this course is to help you tackle the real-world situations with the help of AI tools. So, it is the best for the beginner to get started with AI.

3. Learn with GOOGLE AI

Who will dislike the course from Google? absolutely no one. This company is one of the early adopters of AI has a lot to offer to learners. Learn with Google AI is an education platform for people at all experience levels, it is free to access and browse content. The education resources provided by Google is from the machine learning experts of the company. These resources are the collections of lessons, tutorials, and Hands-on exercises that help you start learning, building, and problem-solving.

4. MIT 6.S094: Deep Learning for Self-Driving Cars

This course gives the practical overview of Deep Learning and AI. It is the course for beginners, also for the people who are getting started with Machine Learning. The course also offers a lot of benefits to the experienced and advanced researchers in the field deep learning. This MIT's course takes people into the journey of Deep Learning with the applied theme of building Self-Driving cars. However, the course also offers slides and videos to engage the learners.

5. Fundamentals of Deep Learning for Computer Vision

This course is offered by Nvidia and Nvidia Deep learning Institute. Computer Vision is one of the disciplines of AI that acquire, analyze, process, and understand images. The course is completely free and everyone who is enthusiast about AI can access and learn the course. It is a hands-on course that able to provide basics of deep learning and deployment of neural networks. With this. you will also learn the following:
  • Identify the ingredients required to start a Deep Learning project.
  • Train a deep neural network to correctly classify images it has never seen before.
  • Deploy deep neural networks into applications.
  • Identify techniques for improving the performance of deep learning applications.
  • Assess the types of problems that are candidates for deep learning.
  • Modify neural networks to change their behavior.
More articles