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In this paper, a behavior-rule based intrusion detection system (BRIDS) is proposed for securing head-ends (HEs), distribution access points/data aggregation points (DAPs) and subscriber energy meters (SEMs) of a modern electrical grid in which continuity of operation is of the utmost importance. The impact of attacker behaviors on the effectiveness of a behavior-rule intrusion detection design is investigated. Using HEs, DAPs and SEMs as examples, it is demonstrated that a behavior-rule based intrusion detection technique can effectively trade false positives for a high detection probability to cope with sophisticated and hidden attackers to support ultra safe and secure applications. It is shown that BRIDS outperforms contemporary anomaly-based IDSs via comparative analysis.
Mitchell et al. (Mon,) studied this question.
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