IEEE Transactions on Power Delivery · 2014 · 176 citations · 16 references
ComputingComputer ScienceCybersecurityComputer SecurityNetwork SecurityVulnerability AnalysisCyber-physical SecurityCybersecurity For Critical InfrastructureIntrusion DetectionSmart Grid SystemsThreat AnalysisThreat DetectionAttack DetectionAttributesCybersecurity For Smart GridsPower System CybersecurityScada SystemsSmart Grid CybersecuritySmart Grid SecuritySupervisory Control Systems
The increased interconnectivity and complexity of supervisory control and data acquisition (SCADA) systems in power system networks has exposed the systems to a multitude of potential vulnerabilities. In this paper, we present a novel approach for a next-generation SCADA-specific intrusion detection system (IDS). The proposed system analyzes multiple attributes in order to provide a comprehensive solution that is able to mitigate varied cyber-attack threats. The multiattribute IDS comprises a heterogeneous white list and behavior-based concept in order to make SCADA cybersystems more secure. This paper also proposes a multilayer cyber-security framework based on IDS for protecting SCADA cybersecurity in smart grids without compromising the availability of normal data. In addition, this paper presents a SCADA-specific cybersecurity testbed to investigate simulated attacks, which has been used in this paper to validate the proposed approach.
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Using Model-based Intrusion Detection for SCADA Networks
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On SCADA control system command and response injection and intrusion detection
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