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On IoT Misbehavior Detection in Cyber Physical Systems

机译:网络物理系统中的IoT不良行为检测

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摘要

This article discusses a lightweight behavior rule specification-based monitoring solution for identifying misbehavior of an embedded IoT device. These unusual activities are exhibited because of attacks exploiting the vulnerability exposed through automatic model checking and formal verification. It is conclusive in the presented research that rule specification-based misbehavior detection technique outperforms contemporary anomaly-based misbehavior detection techniques for an unmanned aerial vehicle (UAV) cyber-physical system.
机译:本文讨论了一种基于轻量级行为规则规范的监视解决方案,用于识别嵌入式IoT设备的不良行为。之所以出现这些异常活动,是因为攻击利用了通过自动模型检查和正式验证暴露的漏洞。在当前的研究中,结论是基于规则规范的不良行为检测技术优于无人飞行器(UAV)网络物理系统的基于当代异常的不良行为检测技术。

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