Aim:

            To analyze the Arnold cat map and demonstrating its effectiveness in the image encryption.

Synopsis:

            With the development in the technology of computer networks, over this network, plenty of secret information can be transferred. Nowadays, the security of information is a more important factor. With the security of textual data, there is a need to secure the pictorial information also. For this purpose, image encryption is a successful technique of protecting the private images. Image encryption is recognized as one of the most effective schemes to protect image privacy in the context of image transmission and storage. Image encryption is a method in which original image converted into an unintelligible form which is not understood by anyone except authorized parties after performing decryption operation on it with help of a secrete key. Due to large amount of data and correlation among pixels makes traditional methods of image encryption useless. To obtain the efficient and robustness against security violation, chaotic map based image encryption would be suitable choice, Here in this paper, The main  focus is on Arnold cat chaotic mapping  based image encryption system, leveraging the extreme sensitivity to initial conditions and cryptographic characteristics of chaotic system.

Existing System:

          In the existing method of image encryption, piecewise logistic sine map designed for efficient image encryption with enhanced chaotic properties. By incorporating classical Logistic and Sine maps and introducing a piecewise function, the PLSM achieves superior performance without compromising computational efficiency. The presented study focuses on optimizing image encryption processes and presents a secure encryption scheme based on the PLSM. The scheme utilizes a 256 bit secrete key to generate initial values and parameters for the PLSM, employing random exclusive OR (XOR) diffusion for simultaneous permutation and diffusion. With three rounds of random XOR , the proposed scheme demonstrates robustness against various attacks, ensuring the confidentiality and integrity of encrypted images.

Proposed System:

          In the realm of information technology, the transmission of image data has emerged as a primary component of network communication. As image encryption technology progresses, so does the parallel development of techniques for illicitly acquiring image information. To counter evolving information theft methods, the quest for most robust image encryption algorithms becomes imperative. Among various algorithms, chaos technology stands out for its efficacy, imparting a level of randomness to the cipher text that significantly diminishes decryption possibilities. Consequently, the exploration of digital image encryption algorithms based on chaos technology has become a pivotal approach in contemporary digital image security. The proposed method focus on advance digital image encryption, utilizing the Arnold cat chaotic map as foundational tool. Through simulation experiments involving classical images such as Lena and natural scenery, we conduct analyses encompassing histogram distribution, pixel correlation, information entropy, key space size, key sensitivity and more.