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Big data information security encryption scheme based on complex chaotic systems in the Internet of Things
Lili Liang1, Lanqing Lou2, Mengjing Wang2
1Information Center, Henan Provincial Chest Hospital, Zhengzhou, 450000, China. llLiang752@126.com.
Scientific Reports
|May 9, 2026
Summary
A novel multi-level image encryption model enhances Internet of Things (IoT) security by integrating chaotic systems and wavelet decomposition. This approach improves encryption efficiency, robustness, and resistance to tampering attacks.
Area of Science:
- Cryptography and Information Security
- Internet of Things (IoT) Security
- Applied Mathematics and Chaos Theory
Background:
- Traditional encryption methods struggle with key space, diffusion, and anti-attack capabilities for IoT image security.
- Increasing demand for secure image transmission in the Internet of Things necessitates advanced encryption solutions.
Purpose of the Study:
- To propose a multi-level image encryption model addressing limitations of traditional methods for IoT applications.
- To enhance key sensitivity, nonlinear diffusion, randomness, and robustness in image encryption.
Main Methods:
- Integration of a 2D lagged complex Logistic chaotic system and a complex Chen-Lorenz framework.
- Application of deoxyribonucleotide bidirectional operation and wavelet domain decomposition.
- Utilizing multi-source chaotic sequences and dynamic perturbation functions for enhanced key sensitivity.
Main Results:
- Achieved average encryption/decryption times of approximately 510 ms and 500 ms.
- Demonstrated enhanced numerical stability with a decrease in root mean square error from 0.12 to 0.06.
- Maintained a bit error rate below 0.2 under six typical IoT tampering attacks, showing superior performance and statistical indistinguishability.
Conclusions:
- The proposed multi-level image encryption model offers significant improvements in efficiency, security, and robustness for IoT scenarios.
- The integration of composite chaos and dual-domain processing enhances numerical stability and resistance to attacks.
- The model exhibits excellent application and promotion value in securing image information within the Internet of Things.
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