Optimization Models in Steganography Using Metaheuristics: 187 - Rilegato

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

Rilegato

ISBN 10: 3030420434 ISBN 13: 9783030420437

Casa editrice: Springer Nature, 2020

Riassunto

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.

Su questo libro

Dalla quarta di copertina

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.

Dettagli dell'edizione

• Editore: Springer Nature
• Data di pubblicazione: 2020
• Lingua: Inglese
• ISBN 10: 3030420434
• ISBN 13: 9783030420437
• Rilegatura: Copertina rigida
• Numero edizione: 1
• Numero di pagine: 180
• Contatto del produttore: non disponibile
• Persona responsabile: CMN Printpool Inh. Mathis Neumann; https://www.also.com/ec/cms5/en_6000/6000/index.jsp; ; Friedrich-Karl-Str. 9; Hamburg; Germania