A Novel Dual Confusion and Diffusion Approach for Grey Image Encryption using Multiple Chaotic Maps

With the exponential growth of internet and social media, images have become a predominant form information transmission, including confidential data. Ensuring proper security these has crucial in today’s digital age. This research study proposes unique strategy for solving this demand by presenting dual confusion diffusion technique encrypting gray-scale pictures. method is presented as an innovative means meeting need. To im-prove effectiveness encryption process, uses several chaotic maps, logistic map, tent Lorenz attractor. Python used implementation suggested approach. Furthermore, thorough assessment mechanism carried out to determine its efficacy resilience. By employing combined strength maps techniques, proposed aims provide high level image transmission. The experimental results demonstrate algorithm’s terms speed, security, resistance against common attacks. encrypted exhibit properties such randomness, key sensitivity, resilience statistical analysis differential Moreover, maintains reasonable computational efficiency, it compatible with real-time applications. makes contribution growing area picture original effective that overcomes shortcomings previously approaches. Future work can explore additional features extend approach encrypt other forms multimedia