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Efficient Mining of Temporal Safety Properties for Intrusion Detection in Industrial Control Systems

机译:工业控制系统入侵检测的时间安全性能有效开采

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Sophisticated process-aware attacks targeting industrial control systems require adequate detection measures taking into account the physical process. This paper proposes an approach relying on automatically mined process specifications to detect attacks on sequential control systems. The specifications are synthesized as monitors that read the execution traces and report violations to the operator. In contrast to other approaches, a central aspect of our method consists in reducing the number of mined specifications suffering from redundancies. We evaluate our approach on a hardware-in-the-loop testbed with a complex physical process model and discuss our approach’s mining efficiency and attack detection capabilities.
机译:针对工业控制系统的复杂过程感知攻击需要考虑到物理过程的充分检测措施。本文提出了一种依赖于自动开采的流程规范的方法,以检测顺序控制系统的攻击。该规范被合成为监视器,可读取执行迹线并报告对运营商的违规行为。与其他方法相比,我们方法的中心方面包括减少遭受冗余的开采规范的数量。我们在具有复杂物理过程模型的硬件循环测试台上评估我们的方法,并讨论我们的方法的采矿效率和攻击检测能力。

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