Anomaly Detection for Modbus over TCP in Control Systems Using Entropy and Classification-Based Analysis
Tirthankar Ghosh,
Sikha Bagui,
Subhash Bagui
et al.
Abstract:This article presents a statistical approach using entropy and classification-based analysis to detect anomalies in industrial control systems traffic. Several statistical techniques have been proposed to create baselines and measure deviation to detect intrusion in enterprise networks with a centralized intrusion detection approach in mind. Looking at traffic volume alone to find anomalous deviation may not be enough—it may result in increased false positives. The near real-time communication requirements, co… Show more
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