Application of Artificial Neural Networks and Residual Class Systems in Cryptography

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The book “Application of Artificial Neural Networks and Residual Class Systems in Cryptography” is a fascinating and in-depth study at the junction of two rapidly developing areas: cryptography and artificial intelligence. The team of authors, consisting of experts in their fields, offers readers a unique look at how modern technologies can change the approach to information protection. In recent years, cryptography has become an increasingly relevant topic, especially given the constant growth in data volumes and cybersecurity threats. This book examines the latest methods based on artificial neural networks, which are able not only to improve existing cryptographic algorithms, but also to offer completely new approaches to encryption and data protection. The authors analyze in detail how neural networks can be used to create more attack-resistant systems, as well as to optimize encryption processes. The book will be of interest to a wide range of readers: from students and graduate students studying computer science and cryptography, to professionals in the field of information security and software development. If you are passionate about technology, want to understand the intricacies of cryptography or just interested in new achievements in the field of artificial intelligence, this publication will be a real find for you. The topics raised in the book cover not only technical aspects, but also philosophical issues related to security and privacy in the digital world. The authors raise important questions about how new technologies can affect our lives, and how we can use them for good. The book makes you think about the future of cryptography and how artificial intelligence can change the rules of the game in this area. The style of the authors is distinguished by clarity and accessibility, which makes complex concepts understandable even for those who are not specialists in the field. They use many examples and illustrations to demonstrate how theoretical ideas can be applied in practice. This makes the book not only useful, but also fascinating to read. If you are looking for literature that combines scientific approach and practical application, then “Application of artificial neural networks and residual class systems in cryptography” will be an excellent choice. This book will not only expand your knowledge of cryptography and artificial intelligence, but will also inspire you to new ideas and projects. You may also be interested in books such as Bruce Schneier’s Cryptography and Data Security or Stuart Russell and Peter Norvig’s Artificial Intelligence: A Modern Approach, which also address topics related to security and new technologies. Do not miss the opportunity to immerse yourself in a world where artificial intelligence and cryptography are intertwined, creating new horizons for the protection of information. This book is your guide to a future where technology works for humanity and data security becomes a priority.
LF/631205588/R
Data sheet
- Name of the Author
- Collective of authors
- Language
- Russian