Cyber-Physical System Checkpointing and Recovery

Fanxin Kong, Meng Xu, James Weimer, O. Sokolsky, Insup Lee
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引用次数: 30

Abstract

Transitioning to more open architectures has been making Cyber-Physical Systems (CPS) vulnerable to malicious attacks that are beyond the conventional cyber attacks. This paper studies attack-resilience enhancement for a system under emerging attacks in the environment of the controller. An effective way to address this problem is to make system state estimation accurate enough for control regardless of the compromised components. This work follows this way and develops a procedure named CPS checkpointing and recovery, which leverages historical data to recover failed system states. Specially, we first propose a new concept of physical-state recovery. The essential operation is defined as rolling the system forward starting from a consistent historical system state. Second, we design a checkpointing protocol that defines how to record system states for the recovery. The protocol introduces a sliding window that accommodates attack-detection delay to improve the correctness of stored states. Third, we present a use case of CPS checkpointing and recovery that deals with compromised sensor measurements. At last, we evaluate our design through conducting simulator-based experiments and illustrating the use of our design with an unmanned vehicle case study.
网络物理系统检查点和恢复
向更开放的架构过渡使得网络物理系统(CPS)容易受到超出传统网络攻击的恶意攻击。本文研究了在控制器环境下系统在新兴攻击下的攻击弹性增强问题。解决此问题的有效方法是使系统状态估计足够精确,以便在不考虑受损组件的情况下进行控制。这项工作遵循这种方式,并开发了一个名为CPS检查点和恢复的过程,该过程利用历史数据来恢复失败的系统状态。特别地,我们首次提出了身体状态恢复的新概念。基本操作定义为从一致的历史系统状态开始向前滚动系统。其次,我们设计了一个检查点协议,该协议定义了如何为恢复记录系统状态。该协议引入了一个滑动窗口,以适应攻击检测延迟,以提高存储状态的正确性。第三,我们提出了一个处理受损传感器测量的CPS检查点和恢复用例。最后,我们通过进行基于模拟器的实验来评估我们的设计,并通过一个无人驾驶汽车的案例来说明我们的设计的使用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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