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A novel image encryption algorithm with anti-tampering attack capability

Author

Listed:
  • Zou, Chengye
  • Shang, Yubao
  • Yang, Yongwei
  • Zhou, Changjun
  • Liu, Yunong

Abstract

Image encryption is essential for safeguarding unauthorized access to visual content. However, with the emergence of numerous image encryption algorithms, it has become apparent that these algorithms often lack mechanisms to safeguard encrypted images from tampering, making it difficult to detect any changes that may occur during transmission or storage. Additionally, the limitations of permutation-diffusion model encryption algorithms have become increasingly apparent. While many existing algorithms attempt to resist differential attacks through the use of “one-time keys” or “multi-round diffusion” techniques, these approaches often result in increased complexity and reduced time efficiency. In this paper, we present an improved chaotic system and leverage it to develop a novel image encryption algorithm with inherent anti-tampering capabilities. This algorithm replaces the traditional one-time key with a fixed key, thereby enhancing security while also improving encryption efficiency. Furthermore, we integrate watermarking technology to address the challenges of detecting image tampering during storage and transmission. Experimental results demonstrate that the proposed algorithm exhibits robust performance, effectively resisting various forms of attacks while maintaining strong anti-tampering capabilities.

Suggested Citation

  • Zou, Chengye & Shang, Yubao & Yang, Yongwei & Zhou, Changjun & Liu, Yunong, 2024. "A novel image encryption algorithm with anti-tampering attack capability," Chaos, Solitons & Fractals, Elsevier, vol. 189(P1).
  • Handle: RePEc:eee:chsofr:v:189:y:2024:i:p1:s0960077924011901
    DOI: 10.1016/j.chaos.2024.115638
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    References listed on IDEAS

    as
    1. Wang, Xingyuan & Guan, Nana & Yang, Jingjing, 2021. "Image encryption algorithm with random scrambling based on one-dimensional logistic self-embedding chaotic map," Chaos, Solitons & Fractals, Elsevier, vol. 150(C).
    2. Yu, Jinwei & Xie, Wei & Zhong, Zhenyu & Wang, Huan, 2022. "Image encryption algorithm based on hyperchaotic system and a new DNA sequence operation," Chaos, Solitons & Fractals, Elsevier, vol. 162(C).
    3. Lai, Qiang & Hu, Genwen & Erkan, Uǧur & Toktas, Abdurrahim, 2023. "High-efficiency medical image encryption method based on 2D Logistic-Gaussian hyperchaotic map," Applied Mathematics and Computation, Elsevier, vol. 442(C).
    Full references (including those not matched with items on IDEAS)

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