大数据 (Jul 2023)

Argus: multi-source data-driven industrial control security situational awareness system

  • Tianchen ZHU,
  • Jun ZHAO,
  • Bo LI,
  • Jianxin LI

Journal volume & issue
Vol. 9
pp. 98 – 115

Abstract

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Industrial control system (ICS) is the brain of national industrial manufacturing and civil infrastructure.However, the security risks associated with ICS have become increasingly prominent, making it a significant target for cybersecurity protection.This paper proposed a solution for the issues associated with ICS security data dispersion and delayed threat perception.Specifically, the paper presented a multi-source data-driven ICS security situational awareness system named Argus, which incorporated an awareness chain for ICS security.Furthermore, the paper developed autonomous situational awareness technologies for ICS security, such as stateless high-speed device scanning, precise threat intelligence extraction, and suspicious attack behavior detection, to achieve multi-channel and three-dimensional ICS security monitoring and situational awareness.The experimental results indicated that, compared with conventional ICS situational awareness methods, the perception accuracy of the Argus system has improved by over 10%, with efficiency improvements by two orders of magnitude.Additionally, Argus allows for proactive warning and mitigation of potential security risks.

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