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<p>A core obstacle in the development of driverless technology lies in information security. To address this challenge, this paper proposes an innovative image encryption scheme, namely the Rotational Virus Image Encryption Scheme (RV-IES) based on a two-dimensional discrete hyperchaotic map based on trigonometric memristor (2D-DTMHM). This scheme aims to enhance the security of images captured by cameras during transmission in driverless technology. The 2D-DTMHM with high complexity and unpredictability is introduced, which is utilized to generate key sequences with high randomness and security. In the RV-IES scheme, the original connections between image pixels are effectively severed through a rotational scrambling strategy. Meanwhile, the diffusion method draws inspiration from the biological principle of virus spread, propagating minute pixel changes widely across a two-dimensional plane to produce encrypted images that are difficult to recognize. After comprehensive and in-depth performance evaluations, the RV-IES demonstrates strong resistance capabilities, NPCR reached 99.6192%, UACI reached 33.5794%, effectively countering various security threats such as statistical attacks, differential attacks, 12.5% cropping attacks, and 0.3% Gaussian noise attacks. This fully proves that the scheme possesses exceptional robustness and attack resistance, providing robust protection for image transmission security in autonomous driving technology.</p>

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An image encryption scheme based on memristive hyperchaos and virus propagation principle with application to driverless technology

  • 期刊论文

  • 发表日期：

    2025年1月4日

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  • Qiang Lai,
  • Lina Ji

摘要

A core obstacle in the development of driverless technology lies in information security. To address this challenge, this paper proposes an innovative image encryption scheme, namely the Rotational Virus Image Encryption Scheme (RV-IES) based on a two-dimensional discrete hyperchaotic map based on trigonometric memristor (2D-DTMHM). This scheme aims to enhance the security of images captured by cameras during transmission in driverless technology. The 2D-DTMHM with high complexity and unpredictability is introduced, which is utilized to generate key sequences with high randomness and security. In the RV-IES scheme, the original connections between image pixels are effectively severed through a rotational scrambling strategy. Meanwhile, the diffusion method draws inspiration from the biological principle of virus spread, propagating minute pixel changes widely across a two-dimensional plane to produce encrypted images that are difficult to recognize. After comprehensive and in-depth performance evaluations, the RV-IES demonstrates strong resistance capabilities, NPCR reached 99.6192%, UACI reached 33.5794%, effectively countering various security threats such as statistical attacks, differential attacks, 12.5% cropping attacks, and 0.3% Gaussian noise attacks. This fully proves that the scheme possesses exceptional robustness and attack resistance, providing robust protection for image transmission security in autonomous driving technology.