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ARTINALI#: An Efficient Intrusion Detection Technique for Resource-Constrained Cyber-Physical Systems

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  • Raiyat Aliabadi, Maryam
  • Seltzer, Margo
  • Vahidi Asl, Mojtaba
  • Ghavamizadeh, Ramak

Abstract

Cyber-Physical Systems (CPSes) are integrated into security-critical infrastructures such as medical devices, autonomous vehicles and smart grids. Unfortunately, the pervasiveness and network accessibility of these systems and their relative lack of security measures make them attractive targets for attacks. This makes building Intrusion Detection System (IDS) for CPSes a necessity. However, detecting intrusions requires collecting information about a system’s internal workings; this can be expensive both in runtime and memory consumption. According to prior research, fine-grain monitoring of a CPS maximizes the chance of intrusion detection but incurs overhead that can exceed the resource constraints of these systems. The objective of this study is to propose a solution for adapting IDSes for deployment on resource-limited CPSes without losing detection accuracy.

Suggested Citation

  • Raiyat Aliabadi, Maryam & Seltzer, Margo & Vahidi Asl, Mojtaba & Ghavamizadeh, Ramak, 2021. "ARTINALI#: An Efficient Intrusion Detection Technique for Resource-Constrained Cyber-Physical Systems," International Journal of Critical Infrastructure Protection, Elsevier, vol. 33(C).
    • Handle: RePEc:eee:ijocip:v:33:y:2021:i:c:s1874548221000226
    DOI: 10.1016/j.ijcip.2021.100430
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