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<p>The rapid growth of the Internet of Things raises concerns about image security, as most IoT devices have limited computational and memory resources. This work introduced a lightweight and efficient image encryption method that combines Tinkerbell-lined Tent chaotic maps with Cellular Automata using the rule vector [198, 153, 153, 153, 51, 85, 75, 51]. An image is encrypted only after its red, green, and blue channels are separated. Hybrid chaotic systems encrypt the channel, and Cellular Automata (CA) diffuse it to enhance randomness and resist pixel-level correlation. Various experiments using standard benchmark images demonstrate that the method achieves high performance and security, with a PSNR of 27.89 dB, an information entropy of 7.996, a UACI of 49.98%, and an NPCR of nearly 100%. The scheme preserves a low MSE of 105.69, unlike the correlation between plain and cipher images. These suggest the method’s adequacy for further protection of real-time images in the IoT environment. Future extensions will explore hybrid cryptography-based extensions and adaptive optimisation for diversified IoT architecture.</p>

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A novel hybrid CA–chaotic map model for lightweight image encryption in IoT environments

  • 期刊论文

  • 发表日期：

    2026年2月24日

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  • Biswarup Yogi,
  • Ajoy Kumar Khan

摘要

The rapid growth of the Internet of Things raises concerns about image security, as most IoT devices have limited computational and memory resources. This work introduced a lightweight and efficient image encryption method that combines Tinkerbell-lined Tent chaotic maps with Cellular Automata using the rule vector [198, 153, 153, 153, 51, 85, 75, 51]. An image is encrypted only after its red, green, and blue channels are separated. Hybrid chaotic systems encrypt the channel, and Cellular Automata (CA) diffuse it to enhance randomness and resist pixel-level correlation. Various experiments using standard benchmark images demonstrate that the method achieves high performance and security, with a PSNR of 27.89 dB, an information entropy of 7.996, a UACI of 49.98%, and an NPCR of nearly 100%. The scheme preserves a low MSE of 105.69, unlike the correlation between plain and cipher images. These suggest the method’s adequacy for further protection of real-time images in the IoT environment. Future extensions will explore hybrid cryptography-based extensions and adaptive optimisation for diversified IoT architecture.