Artificial Intelligence Enabled Network Intrusion Detection Model (AI-NIDM) for Smart Grid Cyber-Physical Systems

Authors

  • P. Dhanasekaran The Kavery Engineering College, Mechery, Salem-636453
  • Sakthivel V. School of Computer Science and Engineering, Vellore Institute of Technology, Chennai, Tamilnadu, India, 600127
  • N. Jayashri Faculty of Computer Applications, Dr. M.G.R Educational and Research Institute, Chennai.
  • M. S. Hemawathi The Kavery Engineering College, Mechery, Salem-636453
  • Vishnu Kumar Kaliappan Department of Computer Science and Engineering, KPR Institute of Engineering and Technology, Arasur, Coimbatore - 641047, Tamil Nadu, India

Keywords:

AI-Enabled Network Intrusion Detection Model, Smart Grid Cyber-Physical Systems, Artificial Intelligence, Cyber-attack detection, Cyber-attack response

Abstract

The increasing complexity and interconnectivity of Smart Grid Cyber-Physical Systems (SG-CPS) have raised significant concerns regarding the security and integrity of these systems. Network Intrusion Detection Model (NIDM) is an essential component of SG-CPS security infrastructure. However, the conventional rule-based and signature-based NIDM are becoming less effective in detecting advanced and sophisticated cyber-attacks. Artificial Intelligence (AI) technologies, named machine learning, deep learning, and neural networks, have shown great potential in enhancing the accuracy and efficiency of NIDM. This paper proposes an AI-Enabled Network Intrusion Detection Model (AI-NIDM) called GWA-ANN for SG-CPS, which integrates AI techniques with traditional NIDS for improved detection and response to cyber-attacks. The proposed system is evaluated on a public SG-CPS dataset, and the results establish that AI-NIDM can effectively detect and classify various types of cyber-attacks with high accuracy and low false-positive rates. The proposed AI-NIDM can significantly improve the security and resilience of SG-CPS against emerging cyber threats.

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Published

27.10.2023

How to Cite

Dhanasekaran, P. ., V., S. ., Jayashri, N. ., Hemawathi, M. S. ., & Kaliappan, V. K. . (2023). Artificial Intelligence Enabled Network Intrusion Detection Model (AI-NIDM) for Smart Grid Cyber-Physical Systems. International Journal of Intelligent Systems and Applications in Engineering, 12(2s), 388–396. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/3639

Issue

Vol. 12 No. 2s (2024)

Section

Research Article

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