Poster: Towards Selecting Threat Appropriate Industrial Intrusion Detection Systems
Poster proposes counter-threat-intelligence-based detector selection for industrial control systems, showing IDS performance varies strongly by attack scenario.
The poster proposes a counter-threat intelligence sharing mechanism to select appropriate intrusion detection systems for the current threat situation in industrial control system environments. Attack-level performance evaluations of various IDSs show detection performance varies depending on the attack scenario. The results emphasize the benefit of dynamically matching detectors to evolving ICS threats.
- Proposes counter-threat-intelligence sharing to select ICS detectors for current threats
- Attack-level evaluations show IDS detection performance varies by attack scenario
From the original article
1 min read at arxiv.orgAs 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.
By Stefan Lenz · arxiv.org
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