Developing Intrusion Detection Integration Models for SCADA-Controlled Electricity Infrastructure

Authors

  • Similoluwa Blossom Adesuwa Okpeseyi  15291 NE 40th Street Redmond, WA 98052, USA
  • Usulor Uchenna Jonathan  Department of Languages and Linguistics, Ebonyi State University, Abakaliki, Nigeria
  • Blessing Anozie-Ibebunjo   Department of English and Literary Studies, Lux Mundi University, Umuahia, Nigeria

DOI:

https://doi.org/10.32628/IJSRST5231101

Keywords:

SCADA Security, Intrusion Detection Systems, Electricity Infrastructure, Cyber Threats, Hybrid IDS Models, Critical Infrastructure Protection

Abstract

The increasing integration of Supervisory Control and Data Acquisition systems in electricity infrastructure has introduced significant cybersecurity challenges due to the unique operational requirements and legacy vulnerabilities of these environments. This paper presents a comprehensive examination of intrusion detection integration models specifically designed for SCADA-controlled electricity systems. It begins by outlining the distinct vulnerabilities and evolving cyber threats targeting critical power infrastructure, emphasizing the inadequacy of traditional security approaches. The study then classifies relevant intrusion detection system techniques and discusses the challenges inherent in their deployment within SCADA networks. Building on this foundation, the paper proposes a modular, hybrid intrusion detection integration framework that balances real-time operational constraints with robust security measures. The proposed models leverage layered detection strategies and scalable architectures to enhance threat detection accuracy while preserving system performance. Finally, the potential impact of these models on improving the resilience and security of electricity infrastructure is highlighted, alongside directions for future research. This work contributes to advancing the cybersecurity posture of critical infrastructure through effective IDS integration.

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International Journal of Scientific Research in Science and Technology

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Published

2023-11-25

Issue

Volume 10, Issue 6, November-December-2023

Section

Research Articles

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How to Cite

[1]
Similoluwa Blossom Adesuwa Okpeseyi, Usulor Uchenna Jonathan, Blessing Anozie-Ibebunjo "Developing Intrusion Detection Integration Models for SCADA-Controlled Electricity Infrastructure" International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011,Volume 10, Issue 6, pp.862-872, November-December-2023. Available at doi : https://doi.org/10.32628/IJSRST5231101