Abstracts Track 2023

Nr: 183

Resilient Control Recovery Security Measurement for Cyber Physical Systems


Mandana Omidbakhsh and Kashayar Khorasani

Abstract: Due to the rise of advanced and sophisticated malicious attacks to Cyber Physical Systems, new solutions and innovative technologies are designed to monitor Cyber Physical Systems, detect the cyber attacks, isolate and then react by mitigation and resilient control recovery schemes. Cyber Physical Systems compromise the tight integration and coordination of sensing, computation, control and networking of physical resources and their infrastructure. With the increasing reliance on technology, Cyber Physical Systems are becoming more vulnerable to cyber threats that can cause disruptions and potentially lead to catastrophic consequences. This paper proposes a measurement framework for the resilience of Cyber Physical Systems and their recovery capability to/from cyber attacks. Resilience is the ability to adapt to changing conditions and to withstand and recover quickly from deliberate attacks. [NIST SP800-160 Vol.2, Rev.1] Resilience metrics are generally defined in the context of the disruption/attack model performance to measure the level of performance before, during and after a detectable disruption/attack. Our proposed framework incorporates metrics for measurement of the effectiveness and reliability of the resilient control recovery schemes for survivability of Cyber Physical Systems from cyber attacks. The framework incorporates Time of Recovery, Cost of Recovery, Failure Profile and Time of Initiation of Disruption for cyber attack tolerant control of Cyber Physical Systems. Our framework also considers the unique challenges and requirements of Cyber Physical Systems such as harsh environmental conditions and limited communication capabilities. We will demonstrate the applicability of our framework through a case study on resilient control recovery scheme for GPS Jamming, Meaconing and Spoofing of typical Cyber Physical Systems. With the validity of our results, we will show our proposed framework can provide valuable insights for assessing the resilience of Cyber Physical Systems and guiding the development of effective and reliable recovery strategies. *Funding provided by the Department of National Defence (DND) Innovation for Defence Excellence and Security (IDEaS) program