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Cryptography Basics

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May 2, 2024 4 minute read

Cryptography Basics is a branch of mathematics that deals with the development of techniques for securing information. Cryptography plays a vital role in protecting sensitive data from unauthorized access, modification, or destruction. It is used to ensure confidentiality, integrity, and authenticity of data in various applications, such as online banking, e-commerce, and secure communication.

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Reading list

We've selected 13 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Cryptography Basics.
Provides a comprehensive and up-to-date treatment of cryptography. It covers a wide range of topics, from the basics of number theory to advanced topics such as elliptic curve cryptography.
Comprehensive reference work on cryptography. It covers a wide range of topics, from the basics of cryptography to advanced topics such as elliptic curve cryptography.
Provides a comprehensive overview of cryptography and network security. It covers a wide range of topics, from the basics of cryptography to advanced topics such as quantum cryptography.
Comprehensive guide to the design and implementation of secure systems. It covers a wide range of topics, from the basics of cryptography to advanced topics such as side-channel attacks.
Popular science book that provides a fascinating overview of the history of cryptography. It great read for anyone who is interested in learning more about the subject.
Provides a comprehensive overview of information theory. It covers a wide range of topics, from the basics of information theory to advanced topics such as channel coding.
Provides a comprehensive overview of algorithmic number theory. It covers a wide range of topics, from the basics of number theory to advanced topics such as elliptic curve cryptography.
Provides a comprehensive overview of coding theory. It covers a wide range of topics, from the basics of coding theory to advanced topics such as convolutional codes.
Provides a comprehensive overview of information theory, inference, and learning algorithms. It covers a wide range of topics, from the basics of information theory to advanced topics such as Bayesian networks.
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