Cryptography Fundamentals for Developers and Security Professionals
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Cryptography ensures confidentiality and authenticity of digital documents. The mathematics behind cryptography show us why, and how far, it can be trusted.
The Java and .NET frameworks contain all the algorithms you need to keep your users’ data secret from prying eyes. Web servers like Apache, Tomcat, and IIS, combined with tools like OpenSSL, keep your users secure online. But to use these tools correctly, and to avoid mistakes of the past, you must understand how cryptography works. Learn the math behind encryption and digital signatures. Study examples of how it has been misused, and explore the possibilities that cryptography enables in digital currency and collaboration.
Author Name: Michael Perry
Author Description:
Software is math. Michael L Perry has built upon the works of mathematicians like Bertrand Meyer, James Rumbaugh, and Donald Knuth to develop a mathematical system for software development. He has captured this system in a set of open source projects, Update Controls and Correspondence. As a Principal Consultant at Improving Enterprises, he applies mathematical concepts to building scalable and robust enterprise systems. You can find out more at qedcode.com.
Table of Contents
- History of Cryptography
36mins - Algorithms
53mins - APIs
36mins - Transport Layer Security
22mins - Authentication and Authorization
40mins - Case Studies
28mins - Decentralized Systems
37mins
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