Implementation and Enhancement of Endogenous Security Mechanisms in Photovoltaic Data Storage and Transmission

The global energy market is migrating toward sustainable renewable energy sources (RES), with solar energy (SE) being the most significant due to its abundance and reliability. Photovoltaic (PV) converts SE into electricity, relying on data integrity and security. However, digitized data has cybersecurity vulnerabilities, including data breaches and attacks. Traditional security systems can provide essential protection but fail to address PV's dynamic and distributed nature, leading to gaps in defense against evolving cyber threats. The study proposes an endogenous security model for improving data transmission and storage within PV. It uses a Verification Feedback Mechanism (VFM) to integrate routing methods, compute efficient data paths, schedule them periodically, and verify their integrity. The model also incorporates cryptographic key infrastructure and key management protocols to ensure secure data transmission and management. This approach addresses challenges in data forging and ensures the integrity of the network's components. The study compared two methods and found one model superior in communication integrity and system adaptability. It achieved latency statistics below 20 ms and maintained Network Throughput (NT) at 9.2 Gbps even when attacked, demonstrating its effectiveness in securing PV from multiple cyberattacks.

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Publication Details

Journal
Journal of Machine and Computing
Published
2025-04-05
DOI
https://doi.org/10.53759/7669/jmc202505077
Primary Topic
Smart Grid Security and Resilience
Type
article
Field-Weighted Citation Impact
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Implementation and Enhancement of Endogenous Security Mechanisms in Photovoltaic Data Storage and Transmission

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Implementation and Enhancement of Endogenous Security Mechanisms in Photovoltaic Data Storage and Transmission

N. Krishnaveni, Tanweer Alam, R. Prasath, B. Vamsi Krishna, Sathvik Bagam, R Jayasri
article en

Abstract

The global energy market is migrating toward sustainable renewable energy sources (RES), with solar energy (SE) being the most significant due to its abundance and reliability. Photovoltaic (PV) converts SE into electricity, relying on data integrity and security. However, digitized data has cybersecurity vulnerabilities, including data breaches and attacks. Traditional security systems can provide essential protection but fail to address PV's dynamic and distributed nature, leading to gaps in defense against evolving cyber threats. The study proposes an endogenous security model for improving data transmission and storage within PV. It uses a Verification Feedback Mechanism (VFM) to integrate routing methods, compute efficient data paths, schedule them periodically, and verify their integrity. The model also incorporates cryptographic key infrastructure and key management protocols to ensure secure data transmission and management. This approach addresses challenges in data forging and ensures the integrity of the network's components. The study compared two methods and found one model superior in communication integrity and system adaptability. It achieved latency statistics below 20 ms and maintained Network Throughput (NT) at 9.2 Gbps even when attacked, demonstrating its effectiveness in securing PV from multiple cyberattacks.

Journal of Machine and Computing
Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology (IN), Islamic University of Madinah (SA)
Openalex Percentile: Top 93%
Smart Grid Security and Resilience
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