Advancing Secure Image Handling Through Chaotic And Bio Molecular Computing
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Advancing Secure Image Handling through Chaotic and Bio-Molecular Computing
Rapid digital advances have made image security crucial, especially in fields like banking, biometrics, and social media. This study proposes a novel image cryptosystem combining DNA and chaos-based cryptography to ensure secure image transmission. A Cross Cosine Map (CCM) generates chaotic keys for grayscale image encryption, while a hyper-chaos-based system secures color images. A lightweight architecture offers dual-layered protection for biometric data. The system’s performance is validated using statistical, differential, and robustness analyses, along with standard image quality metrics.
Bio-inspired Computing: Theories and Applications
This two-volume set (CCIS 951 and CCIS 952) constitutes the proceedings of the 13th International Conference on Bio-inspired Computing: Theories and Applications, BIC-TA 2018, held in Beijing, China, in November 2018. The 88 full papers presented in both volumes were selected from 206 submissions. The papers deal with studies abstracting computing ideas such as data structures, operations with data, ways to control operations, computing models from living phenomena or biological systems such as evolution, cells, neural networks, immune systems, swarm intelligence.
Advances of DNA Computing in Cryptography
This book discusses the current technologies of cryptography using DNA computing. Various chapters of the book will discuss the basic concepts of cryptography, steganography, basic concepts of DNA and DNA computing, approaches of DNA computing in cryptography, security attacks, practical implementaion of DNA computing, applications of DNA computing in the cloud computing environment, applications of DNA computing for big data, etc. It provides a judicious mix of concepts, solved examples and real life case studies.