Optimization Models in Steganography Using Metaheuristics (e-bog) af Abraham, Ajith
Abraham, Ajith (forfatter)

Optimization Models in Steganography Using Metaheuristics e-bog

875,33 DKK (inkl. moms 1094,16 DKK)
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, secre...
E-bog 875,33 DKK
Forfattere Abraham, Ajith (forfatter)
Forlag Springer
Udgivet 25 februar 2020
Genrer Artificial intelligence
Sprog English
Format pdf
Beskyttelse LCP
ISBN 9783030420444
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.