Optimization Models in Steganography Using Metaheuristics (Intelligent Systems Reference Library, Band 187) - Softcover

Buch 152 von 188: Intelligent Systems Reference Library

Sarmah, Dipti Kapoor; Kulkarni, Anand J.; Abraham, Ajith

 
9783030420468: Optimization Models in Steganography Using Metaheuristics (Intelligent Systems Reference Library, Band 187)

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This book explores the use of a socio-inspired optimization algorithm (the Cohort Intelligence algorithm), along with Cognitive Computing and a Multi-Random Start Local Search optimization algorithm. One of the most important types of media used for steganography is the JPEG image. Considering four important aspects of steganography techniques – picture quality, high data-hiding capacity, secret text security and computational time – the book provides extensive information on four novel image-based steganography approaches that employ JPEG compression. Academics, scientists and engineers engaged in research, development and application of steganography techniques, optimization and data analytics will find the book’s comprehensive coverage an invaluable resource.


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This book explores the use of a socio-inspired optimization algorithm (the Cohort Intelligence algorithm), along with Cognitive Computing and a Multi-Random Start Local Search optimization algorithm. One of the most important types of media used for steganography is the JPEG image. Considering four important aspects of steganography techniques – picture quality, high data-hiding capacity, secret text security and computational time – the book provides extensive information on four novel image-based steganography approaches that employ JPEG compression. Academics, scientists and engineers engaged in research, development and application of steganography techniques, optimization and data analytics will find the book’s comprehensive coverage an invaluable resource.


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9783030420437: Optimization Models in Steganography Using Metaheuristics: 187 (Intelligent Systems Reference Library, 187)

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ISBN 10:  3030420434 ISBN 13:  9783030420437
Verlag: Springer, 2020
Hardcover