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Added Real World Cryptography to Books (#88)

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* Added Real World Cryptography to Books

* Fixed the build for Real World Cryptography
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von-latinski 2019-07-16 19:19:17 +02:00 committed by Nikita Sobolev
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@ -102,11 +102,13 @@ A curated list of cryptography resources and links.
- [Introduction to Modern Cryptography](http://www.cs.umd.edu/~jkatz/imc.html) - Introductory-level treatment of cryptography written from a modern, computer science perspective.
- [OpenSSL Cookbook](https://www.feistyduck.com/library/openssl-cookbook/) - The book about OpenSSL.
- [Practical Cryptography for Developers](https://cryptobook.nakov.com) - Developer-friendly book on modern cryptography (hashes, MAC codes, symmetric and asymmetric ciphers, key exchange, elliptic curves, digital signatures) with lots of code examples.
- [Real World Cryptography](https://www.manning.com/books/real-world-cryptography/) - This book teaches you applied cryptographic techniques to understand and apply security at every level of your systems and applications.
- [Security Engineering](http://www.cl.cam.ac.uk/~rja14/book.html) - There is an extraordinary textbook written by Ross Anderson, professor of computer security at University of Cambridge.
- [Serious Cryptography](https://nostarch.com/seriouscrypto) - A Practical Introduction to Modern Encryption by Jean-Philippe Aumasson.
- [The Cryptoparty Handbook](https://unglue.it/work/141611/) - This book provides a comprehensive guide to the various topics of the computer and internet security.
- [Understanding Cryptography](http://www.crypto-textbook.com/) - Often overlooked, this book is a boon for beginners to the field. It contains plenty of exercises at the end of each chapter, aimed at reinforcing concepts and cementing ideas.
### Courses
- [A Self-Study Course In Block-Cipher Cryptanalysis](https://www.schneier.com/academic/paperfiles/paper-self-study.pdf) -This paper attempts to organize the existing literature of block-cipher cryptanalysis in a way that students can use to learn cryptanalytic techniques and ways to break algorithms, by Bruce Schneier.