Optimization Models in Steganography Using Metaheuristics: Intelligent Systems Reference Library, cartea 187
Autor Dipti Kapoor Sarmah, Anand J. Kulkarni, Ajith Abrahamen Limba Engleză Hardback – 26 feb 2020
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Specificații
ISBN-13: 9783030420437
ISBN-10: 3030420434
Pagini: 180
Ilustrații: XIII, 166 p. 89 illus., 25 illus. in color.
Dimensiuni: 160 x 241 x 16 mm
Greutate: 0.44 kg
Ediția:1st ed. 2020
Editura: Springer
Colecția Intelligent Systems Reference Library
Seria Intelligent Systems Reference Library
Locul publicării:Cham, Switzerland
ISBN-10: 3030420434
Pagini: 180
Ilustrații: XIII, 166 p. 89 illus., 25 illus. in color.
Dimensiuni: 160 x 241 x 16 mm
Greutate: 0.44 kg
Ediția:1st ed. 2020
Editura: Springer
Colecția Intelligent Systems Reference Library
Seria Intelligent Systems Reference Library
Locul publicării:Cham, Switzerland
Textul de pe ultima copertă
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.
Caracteristici
Explores in detail an Artificial Intelligence-based socio-inspired optimization algorithm referred to as Cohort Intelligence (CI) Focuses on the steganography approach, along with Cognitive Computing (CC) and a Multi-Random Start Local Search (MRSLS) optimization algorithm Presents a range of optimization models used in steganography