Abstract
This study proposes a stochastic Petri net model for evaluating the security and resilience of cyber-physical systems (CPSs) in the face of malicious attacks. The basic idea behind the proposed model is to evaluate the security of control loops equipped with intrusion detection systems (IDSs) faced with security attacks. The quantitative analysis is performed in terms of system-focused quantitative security measures, such as mean time-to-failure and availability. By using this model, one can investigate the effects of some attacks and defensive parameters, including the detection interval, the time to physical disruption, and the false-positive probability of IDSs. This evaluation results can help to improve the security countermeasures of CPSs.
Highlights
Cyber-physical systems (CPSs) are characterised by computational and communication elements monitoring and controlling physical entities [1]
An stochastic Petri nets (SPNs) [7] is a tuple: SPN = P, T, F, M0, R, H, where P is a set of places, T is a set of transitions, F is a set of arcs from places to transitions or from transitions to places, M0: P → N is the initial marking associating with each place a non-negative number, R is the set of firing rates associated with the transitions and H is a set of inhibitor arcs
This paper modelled the attacker and defender behaviours to analyse the security of CPSs
Summary
Cyber-physical systems (CPSs) are characterised by computational and communication elements monitoring and controlling physical entities [1]. The outcome of the attack is very limited An attack on these systems may violate some safety limitations, damage or overstress equipment, damage products or may lead to environmental pollution [6]. For these reasons, security analysis of CPSs has a significant importance. The aim of this paper is to model CPSs equipped with intrusion detection systems (IDSs) to quantify their resilience to the adversarial attacks.
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