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Light-Crypt: A Lightweight Image Encryption Algorithm Using Chaotic Maps and AI-Generated Substitution Boxes
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DOI：10.1007/978-3-032-00701-8_27.png)
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Abstract
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The proposed energy-efficient image encryption algorithm, Light-Crypt, utilizes a chaos-based cryptography approach integrated with artificial intelligence to optimize S-Boxes and P-Boxes. It employs a modified grassroots structure for key generation through the Lorenz chaotic system, enhancing confusion and diffusion processes via neural networks and reinforcement learning. Performance testing demonstrated Light-Crypt's robustness, achieving an entropy increase of 0.97 bits, NPCR around 99.64%, and UACI approximately 28.65%. Correlation analysis indicated effective diffusion with coefficients near zero, while histogram analysis showed uniform pixel intensity distribution, enhancing resistance to statistical attacks. The algorithm passed 8 out of 12 NIST SP800-22 randomness tests, confirming its security. Sensitivity analysis revealed that minor key changes resulted in 99.39% output variation, underscoring its strong avalanche effect. Overall, Light-Crypt offers a high level of optimization for AI-enhanced S-Boxes and chaos-based encryption, making it suitable for resource-constrained and real-time applications without significant trade-offs between security and computational efficiency.
Keywords:
Image encryption
Chaos cryptography
Artificial intelligence
Substitution boxes
Lorenz system
Reinforcement learning
AES modification
Lightweight cryptography
Neural networks
Security analysis
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