Dipti Kapoor Sarmah: Optimization Models in Steganography Using Metaheuristics, Gebunden
Optimization Models in Steganography Using Metaheuristics
- Publisher:
- Springer, 02/2020
- Binding:
- Gebunden, HC runder Rücken kaschiert
- Language:
- Englisch
- ISBN-13:
- 9783030420437
- Item number:
- 10041007
- Volume:
- 180 Pages
- Weight:
- 442 g
- Format:
- 241 x 160 mm
- Thickness:
- 15 mm
- Release date:
- 26.2.2020
- Note
-
Caution: Product is not in German language
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Blurb
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.
Biography (Ajith Abraham)
Dr. Ajith Abraham is Director of the Machine Intelligence Research (MIR) Labs, a global network of research laboratories with headquarters near Seattle, WA, USA. He is an author/co-author of more than 750 scientific publications. He is founding Chair of the International Conference of Computational Aspects of Social Networks (CASoN), Chair of IEEE Systems Man and Cybernetics Society Technical Committee on Soft Computing (since 2008), and a Distinguished Lecturer of the IEEE Computer Society representing Europe (since 2011).
