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

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.

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Publication Details

Journal
Sensors and Materials
Published
2025-08-15
DOI
https://doi.org/10.18494/sam5519
Primary Topic
Chaos-based Image/Signal Encryption
Type
article
Field-Weighted Citation Impact
0.00
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article

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

Xiang-Ming Shi, Menghui Wang, Hong-Wei Sian
Sensors and Materials
Chaos-based Image/Signal Encryption
article

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

Xiang-Ming Shi, Menghui Wang, Hong-Wei Sian
article en

Abstract

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.

Sensors and MaterialsVol. 37(8)
National Chin-Yi University of Technology (TW)
Affordable and clean energy
Openalex Percentile: Top 80%
Chaos-based Image/Signal Encryption
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Advanced Data Security in Renewable Energy Systems through Lorenz Chaos-based Encryption — Xiang-Ming Shi, Menghui Wang, et al. · Sensors and Materials (2025) | TGRS Research Map | TGRS