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Vol. 32, No. 8(2), S&M2292

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Sensors and Materials, Volume 37, Number 8(2) (2025)
Copyright(C) MYU K.K.
pp. 3447-3464
S&M4128 Research paper of Special Issue
https://doi.org/10.18494/SAM5519
Published: August 18, 2025

Advanced Data Security in Renewable Energy Systems through Lorenz Chaos-based Encryption [PDF]

Meng-Hui Wang, Xiang-Ming Shi, and Hong-Wei Sian

(Received December 18, 2024; Accepted April 21, 2025)

Keywords: Lorenz chaos system, image encryption, data security, signal processing, encryption algorithm

In this study, we developed encryption technologies based on the Lorenz chaotic system to enhance the security of images, data, and signals during transmission. Current encryption methods are vulnerable to statistical analysis and pattern recognition; thus, we used the Lorenz system from chaos theory to generate encryption keys, leveraging its unpredictability and sensitivity to initial conditions. We introduced an innovative encryption mechanism combining the Lorenz system with hash functions. This method effectively encrypts images, data, and signals, ensuring no loss of information during decryption. Experimental results showed the algorithm’s accuracy even with added noise and its resistance to statistical analysis attacks. This encryption technology has significant potential in renewable energy systems, where secure data transmission is crucial for operational integrity. In systems such as smart grids and wind or solar energy management, encrypted communication ensures that critical data from real-time metrics to system configurations remains protected against cyber threats. By integrating this robust encryption approach, renewable energy systems can enhance overall security and reliability.

Corresponding author: Meng-Hui Wang


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Cite this article
Meng-Hui Wang, Xiang-Ming Shi, and Hong-Wei Sian, Advanced Data Security in Renewable Energy Systems through Lorenz Chaos-based Encryption , Sens. Mater., Vol. 37, No. 8, 2025, p. 3447-3464.



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