£114.66

Springer Reversible Steganography and Authentication Book

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£114.66 £108.10 £109.53 £110.96 £112.40 £113.83 £115.26 26 January 2026 15 February 2026 08 March 2026 29 March 2026 19 April 2026

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Description

Explore advanced data security with Reversible Steganography and Authentication via Transform Encoding, part of the Studies in Computational Intelligence series. This technical resource provides an in-depth look at reversibility computation across six essential transformation techniques, including DFT, DCT, wavelets, Z, binomial and grouplet. Designed for professionals and researchers in computer science, the book covers chaos-based authentication and describes specific algorithmic approaches for various transformations. It includes implementation details and results to bridge the gap between theory and practice. Readers will find detailed information on embedding and extraction within the spatial domain, as well as methods for tuning via GA-based approaches. The text also addresses specialized techniques like embedding into imaginary coefficients of the Z domain and provides detailed algorithms for encryption. This comprehensive guide serves as a vital reference for anyone studying AI, machine learning, and secure data encoding methods.

Key Features

Covers six transformation techniques including DFT, DCT, wavelets, Z, binomial and grouplet for detailed reversibility computation.

Provides chaos-based authentication methods to enhance data security and verification processes.

Includes practical algorithmic approaches along with implementation details and results for real-world application.

Discusses embedding and extraction methods within the spatial domain for versatile data hiding.

Explains tuning techniques using GA-based approaches to optimize encoding performance.

Details specialized methods for embedding into imaginary coefficients of the Z domain.

Offers comprehensive algorithms for encryption to support secure information processing.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
02 June 2020
Listed Since
10 March 2020

Barcode

No barcode data available

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