A Conceptual Model for Integrating Cyber security and Intrusion Detection Architecture into Grid Modernization Initiatives
Abstract
The integration of cybersecurity measures, specifically Intrusion Detection Systems (IDS), into grid modernization initiatives is essential to protect critical energy infrastructures from evolving cyber threats. This paper presents a conceptual model for embedding cybersecurity frameworks into the modernization of power grids, focusing on the seamless integration of IDS within the grid architecture. With the increasing digitization of energy systems, traditional grids face heightened vulnerabilities, making robust cybersecurity strategies a priority. Through an in-depth review of existing cybersecurity frameworks and IDS models, this paper identifies the gaps in current integration approaches and proposes a layered security architecture that integrates AI and real-time monitoring for proactive threat detection. The proposed model also emphasizes scalability, interoperability, and compliance with regulatory frameworks. In addition to offering a phased implementation roadmap, the paper discusses the strategic, regulatory, and institutional challenges associated with integrating advanced cybersecurity systems into grid infrastructure. Furthermore, it explores future research areas, including quantum-safe cryptography, autonomous threat responses, and the potential use of blockchain for secure grid transactions. By addressing both the theoretical foundations and practical aspects of cybersecurity in grid modernization, this paper contributes to the development of more secure, resilient, and future-proof energy grids.
How to Cite This Article
Oluwademilade Aderemi Agboola, Jeffrey Chidera Ogeawuchi, Oyinomomo-emi Emmanuel Akpe, Abraham Ayodeji Abayomi (2022). A Conceptual Model for Integrating Cyber security and Intrusion Detection Architecture into Grid Modernization Initiatives . International Journal of Multidisciplinary Research and Growth Evaluation (IJMRGE), 3(1), 1099-1105. DOI: https://doi.org/10.54660/.IJMRGE.2022.3.1.1099-1105