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Cryptography Algorithms

Cryptography Algorithms

By : Massimo Bertaccini
4.2 (18)
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Cryptography Algorithms

Cryptography Algorithms

4.2 (18)
By: Massimo Bertaccini

Overview of this book

Cryptography Algorithms is designed to help you get up and running with modern cryptography algorithms. You'll not only explore old and modern security practices but also discover practical examples of implementing them effectively. The book starts with an overview of cryptography, exploring key concepts including popular classical symmetric and asymmetric algorithms, protocol standards, and more. You'll also cover everything from building crypto codes to breaking them. In addition to this, the book will help you to understand the difference between various types of digital signatures. As you advance, you will become well-versed with the new-age cryptography algorithms and protocols such as public and private key cryptography, zero-knowledge protocols, elliptic curves, quantum cryptography, and homomorphic encryption. Finally, you'll be able to apply the knowledge you've gained with the help of practical examples and use cases. By the end of this cryptography book, you will be well-versed with modern cryptography and be able to effectively apply it to security applications.
Table of Contents (15 chapters)
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1
Section 1: A Brief History and Outline of Cryptography
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Section 2: Classical Cryptography (Symmetric and Asymmetric Encryption)
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Chapter 2: Introduction to Symmetric Encryption
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Section 3: New Cryptography Algorithms and Protocols
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Chapter 5: Introduction to Zero-Knowledge Protocols
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Section 4: Homomorphic Encryption and the Crypto Search Engine
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Computational analysis on CSE

The secret to searching in blind is to combine elements such as hash functions, encryption algorithms, authentication algorithms, and user interfaces into one helpful platform.

Computationally, the problem is to combine the best grade of security, given by the algorithms of encryption, decryption, and authentication, as well as the policies to log in and manage the platform, with the efficiency of searching in encrypted content. Suppose you want to search blindly inside the entire content of Wikipedia, encrypted, for example. In that case, the problem is how big the amount of content (expressed in kilobytes, gigabytes, or terabytes) is and the number of keywords processed. In other words, we have to face off with a complex system given by the sum of the elements combined into CSE:

  • Number of files encrypted
  • Time to encrypt the files
  • Bits per file and bits per total content processed
  • Number of keywords processed
  • Elapsed time...

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