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  1. Proceedings of the First ACM Workshop on Cyber-Physical Systems-Security and/or PrivaCy (CPS-SPC '15)
  2. Scheduling Intrusion Detection Systems in Resource-Bounded Cyber-Physical Systems
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Scheduling Intrusion Detection Systems in Resource-Bounded Cyber-Physical Systems

Content Provider ACM Digital Library
Author Laszka, Aron Vorobeychik, Yevgeniy Abbas, Waseem Koutsoukos, Xenofon
Abstract In order to be resilient to attacks, a cyber-physical system (CPS) must be able to detect attacks before they can cause significant damage. To achieve this, \emph{intrusion detection systems} (IDS) may be deployed, which can detect attacks and alert human operators, who can then intervene. However, the resource-constrained nature of many CPS poses a challenge, since reliable IDS can be computationally expensive. Consequently, computational nodes may not be able to perform intrusion detection continuously, which means that we have to devise a schedule for performing intrusion detection. While a uniformly random schedule may be optimal in a purely cyber system, an optimal schedule for protecting CPS must also take into account the physical properties of the system, since the set of adversarial actions and their consequences depend on the physical systems. Here, in the context of water distribution networks, we study IDS scheduling problems in two settings and under the constraints on the available battery supplies. In the first problem, the objective is to design, for a given duration of time \$T\$, scheduling schemes for IDS so that the probability of detecting an attack is maximized within that duration. We propose efficient heuristic algorithms for this general problem and evaluate them on various networks. In the second problem, our objective is to design scheduling schemes for IDS so that the overall lifetime of the network is maximized while ensuring that an intruder attack is always detected. Various strategies to deal with this problem are presented and evaluated for various networks.
Starting Page 55
Ending Page 66
Page Count 12
File Format PDF
ISBN 9781450338271
DOI 10.1145/2808705.2808711
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2015-10-16
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Dominating sets Intruder detection systems Cyber-physical systems Sensor networks Scheduling
Content Type Text
Resource Type Article
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