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Optimization Models in Steganography Using Metaheuristics (Intelligent Systems Reference Library)

By: Ajith Abraham (Author) , Anand J. Kulkarni (Author) , Dipti Kapoor Sarmah (Author)

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Ksh 20,500.00

Format: Hardback or Cased Book

ISBN-10: 3030420434

ISBN-13: 9783030420437

Collection / Series: Intelligent Systems Reference Library

Collection Type: Publisher collection

Edition statement: 2020 ed.

Publisher: Springer Nature Switzerland AG

Imprint: Springer Nature Switzerland AG

Country of Manufacture: GB

Country of Publication: GB

Publication Date: Feb 26th, 2020

Publication Status: Active

Product extent: 166 Pages

Product Classification / Subject(s): Artificial intelligence
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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.

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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