Problem
Research questions and friction points this paper is trying to address.
industrial control systems
threat landscape
detection strategies
evolving threat situations
Poster: Towards Selecting Threat Appropriate Industrial Intrusion Detection Systems
🤖 AI Summary
为应对工业控制系统中动态变化的威胁，提出基于威胁情报共享机制选择合适的检测器，并通过评估不同入侵检测系统在攻击情景下的表现来验证其有效性。
📝 Abstract
As the threat landscape against industrial control systems is dynamic, effective security requires detection strategies capable of timely reactions to these evolving threat situations. To address this problem, we propose the idea of a counter-threat intelligence sharing based mechanism to select appropriate detectors for current circumstances. To highlight the potential of this mechanism, we conduct attack-level performance evaluations of various intrusion detection systems. Results show the variance of intrusion detection performance depending on the attack scenario, emphasizing the benefits of such a mechanism for industrial control system security
Innovation
Methods, ideas, or system contributions that make the work stand out.
counter-threat intelligence sharing
intrusion detection systems
attack-level performance evaluation
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