 Название: Optimization Models in Steganography Using Metaheuristics
Автор: Dipti Kapoor Sarmah, Anand J. Kulkarni,
Издательство: Springer
Год: 2020
Страниц: 174
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB
Explores in detail an Artificial Intelligence-based socio-inspired optimization algorithm referred to as Cohort Intelligence (CI).
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.
The mathematical level in all the chapters is well within the grasp of the scientists as well as the undergraduate and graduate students from the engineering and computer science domains. The reader is encouraged to have a basic knowledge of mathematical analysis. Every technique presented in the book has been coded in MATLAB software. All the executable codes could be made available on request.
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Optimization Models in Steganography Using Metaheuristics 
