Developing Intrusion Detection Integration Models for SCADA-Controlled Electricity Infrastructure

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.