Advanced image security through chaotic system-based encryption and fisher-yates matrix shuffling

Abstract

Traditional encryption approaches often exhibit vulnerabilities to differential, noise, and statistical attacks, and may expose patterns in encrypted images, compromising confidentiality and promoting unauthorized access. With rapid development of technology and inevitable rise of security challenges, it becomes important to secure sensitive image data against unauthorized access and sophisticated attacks, ensuring confidentiality, integrity, and resilience in high-security applications. This paper aims to provide a robust, efficient, and secure solution for protecting sensitive image data against attacks. The proposed asymmetric image encryption technique introduces a fusion of innovative methods, including the utilization of the chaotic behavior of the Lorenz and Logistic maps, along with pixel permutation and shuffling using fisher yates shuffling algorithm. This approach not only harnesses the power of chaotic systems for generating robust non periodic encryption keys but also leverages a pseudo-random manner of matrix shuffling techniques to enhance the confidentiality of image data. The algorithm divides the image into 16 horizontal bits and applies Lorenz encryption on 8 bits and logistic encryption on the remaining 8 bits. Then fisher-yate’s algorithm is applied on them along with vertical division of image into 16 bits. The algorithm uses 4 decryption keys without which the attacker cannot recover the original image. The effectiveness of the proposed encryption algorithm is evaluated through extensive simulation experiments, which demonstrate its superior performance in terms of various attacks like differential attack, noise attack, blocking attack, etc. The proposed encryption technique focuses on enhanced security, unpredictable robust key generation, advanced pixel shuffling and multi key protection to provide a reliable and efficient approach for securing image data, which can be useful in various applications such as military, medical, and financial imaging systems and many more.