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A nature-inspired approach to cryptology

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	A nature-inspired approach to cryptologyby Shishir Kumar Shandilya, Agni Datta, Atulya K. Nagar.
作者:	Shandilya, Shishir K.
其他作者:	Datta, Agni.
出版者:	Singapore :Springer Nature Singapore :2023.
面頁冊數:	xxiii, 309 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Nature-inspired algorithms.
電子資源:	https://doi.org/10.1007/978-981-99-7081-0
ISBN:	9789819970810$q(electronic bk.)

A nature-inspired approach to cryptology
Shandilya, Shishir K.

A nature-inspired approach to cryptology[electronic resource] /by Shishir Kumar Shandilya, Agni Datta, Atulya K. Nagar. - Singapore :Springer Nature Singapore :2023. - xxiii, 309 p. :ill. (some col.), digital ;24 cm. - Studies in computational intelligence,v. 11221860-9503 ;. - Studies in computational intelligence ;v. 216..

Introduction to Nature Inspired Algorithms -- Cryptography Background and Primitives -- Genetic Cryptography -- Neural Cryptography -- DNA based Cryptography -- Optimization of Cryptosystems using Nature Inspired Algorithms -- Bio-inspired Lightweight Approaches to Cryptography -- Chaos Cryptography.

This book introduces nature-inspired algorithms and their applications to modern cryptography. It helps the readers to get into the field of nature-based approaches to solve complex cryptographic issues. This book provides a comprehensive view of nature-inspired research which could be applied in cryptography to strengthen security. It will also explore the novel research directives such as Clever algorithms and immune-based cyber resilience. New experimented nature-inspired approaches are having enough potential to make a huge impact in the field of cryptanalysis. This book gives a lucid introduction to this exciting new field and will promote further research in this domain. The book discusses the current landscape of cryptography and nature-inspired research and will be helpful to prospective students and professionals to explore further.

ISBN: 9789819970810$q(electronic bk.)

Standard No.: 10.1007/978-981-99-7081-0doiSubjects--Topical Terms:

858794
Nature-inspired algorithms.

LC Class. No.: QA76.9.N37

Dewey Class. No.: 006.38

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