A Dynamic and Competitive Algorithm for Image Encryption Using 3D Hyper-Chaotic Map, RNA, and GSA
Ali Beygrezaee, Seyed Ahmad Olamaei, Iman Ahanian · Intelligent Multimedia Processing and Communication Systems (IMPCS) سامانههای پردازشی و ارتباطی چندرسانهای هوشمند · 2026
With the rapid expansion of digital technologies and the increasing volume of visual data, protecting image content has become one of the fundamental concerns in information security. Due to their complex structure and high data density, digital images are often targeted by various attacks, which underscores the necessity of employing advanced encryption methods. While conventional encryption techniques perform adequately against basic threats, they frequently fail when confronted with sophisticated statistical and cryptanalytic attacks. This study introduces a novel approach that transforms the process of image encryption from a static procedure into a dynamic and competitive mechanism. In the proposed framework, encryption is not considered a linear operation but rather a competition among multiple encrypted outputs. The use of novel three-dimensional chaotic attractors ensures unpredictability and resistance against attacks, while RNA-based encoding adds a layer of biological complexity to the encryption process. Moreover, evolutionary operators enhance the adaptability and robustness of the algorithm through a selective mechanism. The key innovation of this research lies in converting image encryption from a passive procedure into an active competition among outputs. This paradigm not only strengthens the security of visual data but also enables dynamic analysis, evaluation, and selection, thereby offering a generalizable model for the advancement of encryption across other domains.