Linqiang Ge | Georgia Southwestern State University (original) (raw)
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—Smart Grid is a new type of power grid that will provide reliable, secure, and efficient energy ... more —Smart Grid is a new type of power grid that will provide reliable, secure, and efficient energy transmission and distribution in real time. While most existing techniques for protecting power grids were designed to ensure system reliability (e.g., against random failures), recently there is growing concern in smart grid initiatives on the protection against malicious cyber attacks. In particular, the adversary can inject false measurement reports to disrupt the smart grid operation through the compromised meters and sensors. Hence, defending against those false data injection attack becomes a critical issue. Nevertheless, there is no existing solution that considers all aspects such as deployment cost, efficiency, and effectiveness. In this paper, we develop a defense system that integrates the anomaly-based intrusion detection and watermarking-based detection. Our anomaly-based detection can detect strong and rapid attacks. To deal with slow and stealth attacks, we adopt the watermarking-based detection. In particular, we add secure watermarks to real-time meter readings and transmit the watermarked data stream to the utility. The utility can then correlate the watermarked data with the original watermarks (transmitted via a secured channel) to detect the presence of false data injected by the adversary during the data transmission path. Our experimental results show that our integrated defense strategy can accurately detect both strong and stealthy attacks.
—Smart Grid is a new type of power grid that will provide reliable, secure, and efficient energy ... more —Smart Grid is a new type of power grid that will provide reliable, secure, and efficient energy transmission and distribution in real time. While most existing techniques for protecting power grids were designed to ensure system reliability (e.g., against random failures), recently there is growing concern in smart grid initiatives on the protection against malicious cyber attacks. In particular, the adversary can inject false measurement reports to disrupt the smart grid operation through the compromised meters and sensors. Hence, defending against those false data injection attack becomes a critical issue. Nevertheless, there is no existing solution that considers all aspects such as deployment cost, efficiency, and effectiveness. In this paper, we develop a defense system that integrates the anomaly-based intrusion detection and watermarking-based detection. Our anomaly-based detection can detect strong and rapid attacks. To deal with slow and stealth attacks, we adopt the watermarking-based detection. In particular, we add secure watermarks to real-time meter readings and transmit the watermarked data stream to the utility. The utility can then correlate the watermarked data with the original watermarks (transmitted via a secured channel) to detect the presence of false data injected by the adversary during the data transmission path. Our experimental results show that our integrated defense strategy can accurately detect both strong and stealthy attacks.