This paper presents an image encryption technique using the LFSR (Linear‐Feedback Shift Register)‐based multiple ants cellular automation with Chaotic map, where LFSR is used to produce pseudo random series that shuffle the pixel positions of an image. We then are using a shared secret key and chaotic map, the each pixel's intensity value of an image is altered and finally gets a ciphered image. Analysis of our proposed method shows a major protection for different statistical attacks. Moreover, our method provides better tradeoff between the entropy and correlation coefficients among the existing methods. The results of investigation and mathematical analysis confirm the protection, flexibility, correctness, reliability, and the robustness of the proposed scheme. The different security analysis confirms that the new encryption algorithm has higher security.

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Nowadays, the security of digital image is one of the most essential terms. In this article, a piecewise linear chaotic map based image encryption has been proposed. For implementation protection from different types of attacks, the Linear Cryptanalysis system is applied to encrypt the image. The irreducible polynomial is implemented to design the confusion -diffusion architecture that scrambles the pixel position of the image. To alter pixel intensity, the Fuzzy operations have been applied which makes the scheme more secure. The proposed encryption scheme is applied to resist some cryptanalysis method such as plaintext or cipher text attacks. The different theoretical and statistical analysis shows that the scheme has high -level security. The two main statistical factors, the number of pixel change rate and the information entropy, gives the better result in this article.

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Sleuthing images that conceal information has continuously been a stimulating and difficult problem in cyber security. Finding hidden data in nursing image is called steganalysis. In this chapter, the authors explore the method employed in the study. The investigational results are have included followed by a discussion with prospect analysis. Several 2×2 blocks are recycled to implant the data bits within the stego-image, and using the Arnold Map, four quadrants of the pixels of each block is selected to embed the data in nonlinear bit position. Different measures with the change of BPP (bits per pixel) are also worked out.