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Behavior Rule Specification-Based Intrusion Detection for Safety Critical Medical Cyber Physical Systems

机译:基于行为规则规范的安全关键医疗网络物理系统的入侵检测

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摘要

We propose and analyze a behavior-rule specification-based technique for intrusion detection of medical devices embedded in a medical cyber physical system (MCPS) in which the patient’s safety is of the utmost importance. We propose a methodology to transform behavior rules to a state machine, so that a device that is being monitored for its behavior can easily be checked against the transformed state machine for deviation from its behavior specification. Using vital sign monitor medical devices as an example, we demonstrate that our intrusion detection technique can effectively trade false positives off for a high detection probability to cope with more sophisticated and hidden attackers to support ultra safe and secure MCPS applications. Moreover, through a comparative analysis, we demonstrate that our behavior-rule specification-based IDS technique outperforms two existing anomaly-based techniques for detecting abnormal patient behaviors in pervasive healthcare applications.
机译:我们提出并分析了一种基于行为规则规范的技术,用于对嵌入医疗网络物理系统(MCPS)中的医疗设备进行入侵检测,其中患者的安全至关重要。我们提出了一种将行为规则转换为状态机的方法,以便可以轻松地针对转换后的状态机检查正对其行为进行监视的设备,以了解其行为规范的偏离情况。以生命体征监测器医疗设备为例,我们证明了我们的入侵检测技术可以有效地将误报折衷为高检测概率,以应对更复杂和隐藏的攻击者,以支持超安全的MCPS应用程序。此外,通过比较分析,我们证明了基于行为规则规范的IDS技术优于在检测广泛的医疗应用中检测异常患者行为的两种现有的基于异常的技术。

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