Overview
- Covers various aspects of steganography and authentication in a range of domains
- Presents discussions substantiated by examples
- Includes comparative analyses of performances
Part of the book series: Studies in Computational Intelligence (SCI, volume 901)
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About this book
Featuring detailed algorithms for encryption and descriptions of all techniques, including embedding techniques for all transform-based steganographic processes, the book also explores the adjustment of pixel values after embedding and presents numerical examples of reversible computations. In the context of chaos-based authentication, it also describes testing the quality of generator is using Monobit, Serial and Poker tests. The book then outlines 15 test cases recommended by NIST fifteen test cases, along with their implementation on six evolutionary algorithms for neural cryptographic systems in the context of wireless computations – TPM, KSOMSCT, DHLPSCT, CHDLPSCT, CTHLPSCT and CGTHLPSCT – and verifies their satisfiability based on the implementations of these six techniques. Lastly it presents various metrics of image processing systems.
This book is a valuable reference resource for research scholars, PG/UG students and practicing engineers
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Table of contents (14 chapters)
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Bibliographic Information
Book Title: Reversible Steganography and Authentication via Transform Encoding
Authors: Jyotsna Kumar Mandal
Series Title: Studies in Computational Intelligence
DOI: https://doi.org/10.1007/978-981-15-4397-5
Publisher: Springer Singapore
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: Springer Nature Singapore Pte Ltd. 2020
Hardcover ISBN: 978-981-15-4396-8Published: 02 June 2020
Softcover ISBN: 978-981-15-4399-9Published: 02 June 2021
eBook ISBN: 978-981-15-4397-5Published: 01 June 2020
Series ISSN: 1860-949X
Series E-ISSN: 1860-9503
Edition Number: 1
Number of Pages: XVII, 325
Number of Illustrations: 149 b/w illustrations, 65 illustrations in colour
Topics: Computational Intelligence, Systems and Data Security, Artificial Intelligence