Optimization-Driven Steganography and Cryptography for Data Security

This book presents a comprehensive study of advanced data hiding frameworks that leverage computational intelligence and hybrid optimization techniques to secure multimedia communication. It begins with a discussion on the fundamentals of cryptography, steganography, and steganalysis, setting the stage for the need to combine these disciplines to achieve higher levels of data security, robustness, and embedding efficiency. At the core of the book lies the Fruit Fly Optimization hybridized with Improved Seeker (FOIS) algorithm, designed to intelligently select optimal pixels for data embedding.This significantly reduces distortion and improves the quality of stego images, even under powerful steganalysis attacks. Comparative analysis with widely used cryptographic schemes such as RC4, RSA, and Elliptic Curve Cryptography (ECC) demonstrates the superior performance of FOIS in both embedding capacity and visual imperceptibility. A must-read for researchers, academicians, and practitioners in the fields ofcryptography, image processing, computer vision, and information security, this book offers both theoretical depth and practical insights into the future of data hiding technologies.