Framework for Detecting Control Command Injection Attacks on Industrial Control Systems (ICS)

Farhad Rasapour, Edoardo Serra, H. Mehrpouyan

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

This paper focuses on the design and development of attack models on the sensory channels and an Intrusion Detection system (IDS) to protect the system from these types of attacks. The encoding/decoding formulas are defined to inject a bit of data into the sensory channel. In addition, a signal sampling technique is utilized for feature extraction. Further, an IDS framework is proposed to reside on the devices that are connected to the sensory channels to actively monitor the signals for anomaly detection. The results obtained based on our experiments have shown that the one-class SVM paired with Fourier transformation was able to detect new or Zero-day attacks.

Original languageEnglish
Title of host publicationProceedings - 2019 7th International Symposium on Computing and Networking, CANDAR 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages211-217
Number of pages7
ISBN (Electronic)9781728147253
DOIs
StatePublished - Nov 2019
Event7th International Symposium on Computing and Networking, CANDAR 2019 - Nagasaki, Japan
Duration: 26 Nov 201929 Nov 2019

Publication series

NameProceedings - 2019 7th International Symposium on Computing and Networking, CANDAR 2019

Conference

Conference7th International Symposium on Computing and Networking, CANDAR 2019
Country/TerritoryJapan
CityNagasaki
Period26/11/1929/11/19

Keywords

  • Intrusion Detection System
  • Sensory Channels
  • Terms Industrial Control Systems

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