Demonstrates improved image security using a hybrid encryption method, indicating enhanced protection against data breaches.
Technological innovations have made it possible to share digital images via various image-sharing services, enabling easy, widespread distribution. However, conventional encryption methods are often inefficient for securing image information because they do not effectively handle image size, high redundancy, and strong inter-pixel correlation characteristics. In this paper, we introduce a hybrid image encryption method that combines RSA-based key encapsulation with the pseudo-random keystream generation capability of cellular automata. Image security is achieved through three components: first, RSA-OAEP is used to encapsulate the SHA-256 hash-derived encryption parameter instead of encrypting the image pixels directly; second, cellular automata with distinct rules are used for different color channels to introduce statistical randomness into the image data; and third, encryption and scrambling operations are applied to the image pixels to generate noise-like cipher images with no visually recognizable original patterns. The proposed method produces noise-like cipher images while preserving lossless reconstruction quality after decryption. The scheme achieves near-uniform histograms, entropy close to 8, NPCR around 99.60%, UACI close to 33.46%, and linear complexity $$O(MN)$$ , with average encryption times of $$0.065596$$ , $$0.305842$$ , and $$1.144842$$ s for 256× 256 , 512× 512 , and 1024× 1024 images, respectively.
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Karthikeyan et al. (2026) studied this question.
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