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Process-Aware Model-based Intrusion Detection System on Filtering Approach: Further Investigations

机译:基于过程感知模型的过滤入侵检测系统的进一步研究

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Against new emerging cyber-threats targeting Industrial Control Systems (ICSs), Intrusion Detection Systems (IDSs) have emerged as viable solutions for implementing signature or behavioural approaches. The Security Approach based on Filter Execution (S.A.F.E.), a process-aware model-based IDS, deploys detection mechanisms through the implementation of command and report filters close to the process under control. Based on the S.A.F.E. approach, this paper proposes its improvement and novel contributions: a report filter modelling, optimization algorithms for speeding up the computation of the detection indicators and an implementation on a real testbed.
机译:面对针对工业控制系统(ICS)的新兴网络威胁,入侵检测系统(IDS)已经成为实现签名或行为方法的可行解决方案。基于过滤器执行的安全方法(S.A.F.E.)是一种基于过程的模型IDS,它通过实施命令并在受控制的过程附近报告过滤器来部署检测机制。基于S.A.F.E.本文提出了一种改进方法,并提出了新的贡献:报告过滤器建模,用于加快检测指标计算速度的优化算法以及在实际测试台上的实现。

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