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<p>As digital devices become more widespread and increasingly connected globally, the significance of image encryption has reached unprecedented levels. The demand for robust image encryption is poised to escalate further, underscoring its pivotal role in safeguarding data security and privacy in wireless sensor networks (WSN). Owing to some intrinsic properties of images, such as high redundancy, high correlation, and large data sizes, standard encryption techniques meant for ordinary data and text might not be the best option for image security. This research proposes a novel image encryption algorithm using a Logistic-Sine-Cubic Iterative Map (LSCIM), deoxyribonucleic acid (DNA) rules, and a hyperchaotic model with memcapacitors to address these challenges. The memcapacitor model is initially utilized to construct a hyperchaotic system with two positive Lyapunov exponents and infinite equilibrium points. Further, image encryption is conducted using a combination of the LSCIM map, a capacitor-based hyperchaotic system, and DNA codec operation. Simulation results validate the proposed method with a high entropy value (~8.0000), low correlation (&lt; 0.01), and strong resistance to differential attacks (NPCR &gt; 99.64%, UACI ≈ 46.57%). The proposed image encryption method provides a key space of approximately 2<sup>638</sup>, ensuring robust security against brute-force attacks. Encryption irreversibility is confirmed by high MSE, low PSNR, and near-zero SSIM between original and encrypted images, while perfect decryption is achieved (MSE ≈ 0, PSNR ≈ ∞, and SSIM ≈ 1). Moreover, the ciphertext passes all NIST SP800-22 randomness tests, and the system maintains practical execution times<b>,</b> confirming its suitability for secure image transmission and storage in WSN and defense environments.</p>

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Secure image transmission in wireless sensor networks using DNA coding and memcapacitor-based hyperchaotic system for encryption and decryption

  • 期刊论文

  • 发表日期：

    2025年9月6日

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  • Biniyam Ayele Belete,
  • Demissie Jobir Gelmecha,
  • Ram Sewak Singh

摘要

As digital devices become more widespread and increasingly connected globally, the significance of image encryption has reached unprecedented levels. The demand for robust image encryption is poised to escalate further, underscoring its pivotal role in safeguarding data security and privacy in wireless sensor networks (WSN). Owing to some intrinsic properties of images, such as high redundancy, high correlation, and large data sizes, standard encryption techniques meant for ordinary data and text might not be the best option for image security. This research proposes a novel image encryption algorithm using a Logistic-Sine-Cubic Iterative Map (LSCIM), deoxyribonucleic acid (DNA) rules, and a hyperchaotic model with memcapacitors to address these challenges. The memcapacitor model is initially utilized to construct a hyperchaotic system with two positive Lyapunov exponents and infinite equilibrium points. Further, image encryption is conducted using a combination of the LSCIM map, a capacitor-based hyperchaotic system, and DNA codec operation. Simulation results validate the proposed method with a high entropy value (~8.0000), low correlation (< 0.01), and strong resistance to differential attacks (NPCR > 99.64%, UACI ≈ 46.57%). The proposed image encryption method provides a key space of approximately 2638, ensuring robust security against brute-force attacks. Encryption irreversibility is confirmed by high MSE, low PSNR, and near-zero SSIM between original and encrypted images, while perfect decryption is achieved (MSE ≈ 0, PSNR ≈ ∞, and SSIM ≈ 1). Moreover, the ciphertext passes all NIST SP800-22 randomness tests, and the system maintains practical execution times, confirming its suitability for secure image transmission and storage in WSN and defense environments.