Author: Alasdair McAndrew Publisher: CRC Press Pages: 461 ISBN: 9781439825709 Aimed at: Computer science students and practitioners Rating: 5 Pros: Good theoretical/mathematical approach, which combines the practicals needed Cons: Slightly misleading title Reviewed by: Mike James
A book about using the open source Sage algebra system to illustrate the theory of cryptography  sounds interesting ...
Author: Alasdair McAndrew Publisher: CRC Press Pages: 461 ISBN: 9781439825709 Aimed at: Computer science students and practitioners Rating: 5 Pros: Good theoretical/mathematical approach, which combines the practicals needed Cons: Slightly misleading title Reviewed by: Mike James
The biggest problem with this book is its title. If you are expecting a book that explains how to use digital certificates or perform encryption using open source applications this is not the book you want. Instead what it is about is using the open source Sage algebra system to illustrate the theory of cryptography. It would make a great first course in cryptography but it is also easy enough to read to make it suitable for solitary study.
The book starts off with a very general but useful over view of cryptography. The first part of this is fairly obvious but it very quickly moves on to consider the standard cryptographic tasks  key exchange, signing, voting etc. It all helps to set the scene and motivate the need for cryptography in other settings than just encrypting a message. There is a glossary of new terms at the end of chapter and this does prove useful. There are also some exercises including some based on Sage but no answers are provided.
Chapter 2 is where the theory begins and it's a crash course in number theory. It is here that Sage is mentioned for the first time. This is a little strange because if you have missed the fact that Sage features in the book you are going to be confused. My advice is to read Appendix A  an introduction to Sage  before you make a start on the book. I hope that in the next edition Appendix A is converted into an initial chapter  call it Chapter 0 if you must!
The biggest problem with chapter 2 is more a missed opportunity than anything else. The ideas  such as Euclid's algorithm  are introduced very clearly, but without an accompanying program to show how things work. When we get to something more complicated then Sage is used, but there is plenty of scope for introducing its use to demonstrate and explore much simpler ideas.
Chapter 3 starts on explaining how number theory applies to cryptography with a survey of the classical cryptosystems and how they can be broken  or in the case of the onetime pad how they cannot be broken. It really does cover the classics  Caesar, Translation, Transposition, Vigenère, onetime pad, permutation and matrix cyphers.
Chapter 4 is another theory chapter with an introduction to information theory. Then on to public key cryptosystems with detailed examination of RSA and Rabin complete with examples in Sage. Chapter 6 extends the look at public key systems to the less common El Gamal and Knapsack systems. Chapter 7 is on using public key systems to create digital signatures.
Chapter 8 moves on to block cyphers and eventually a detailed look at DES. Chapter 9 is another theory chapter and it explains finite fields. Then back to practical things with an examination of AES, hash functions, elliptic curves and random numbers and cypher streams. And if you thought that this was beginning to sound advanced the final chapter is on advanced applications and protocols including zero knowledge proofs, digital cash and voting protocols. Appendix B also has a look at advanced computational number theory if you decide that you need some additional theory.
Overall this is an excellent book. It is far from the theoremproof format and it does try to explain the ideas and motivate the reader. The pattern of mixing some theory followed by some practice is good at keeping the less theory minded reader rolling along as the need for the theory becomes all too apparent. Some might criticize the book for being ??too informational and for not making the mathematics more rigorous  but there are plenty of alternatives that take this approach. The use of Sage for the programming language, why not Mathematica, Maple or ... but Sage is open source and based on Python so it is low cost and fairly easy to use. I for one am pleased to have been introduced to it via this book and I'm sure I'll use it again for other projects.
The verdict has to be that this is a really good book. If you want to master cryptography this is a great place to start.
Algorithms Unlocked
Author: Thomas H. Cormen Publisher: MIT Press Pages: 240 ISBN: 9780262518802 Audience: General readers interested in Computer Science Rating: 4 Reviewer: Mike James
An easy to read book about algorithms. What could be better reading for a programmer  or a nonprogrammer?

User Story Mapping
Author: Jeff Patton Publisher: O'Reilly Pages: 324 ISBN: 9781491904909 Print: 1491904909 Kindle: B00NF07FHS Audience: Agile practitioners Rating: 4 Reviewer: Alex Armstrong
Subtitled "Discover the Whole Story, Build the Right Product", does this book provide practical help?
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