Big Data Research ›› 2023, Vol. 9 ›› Issue (4): 98-115.doi: 10.11959/j.issn.2096-0271.2023051


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

Tianchen ZHU1,2, Jun ZHAO3, Bo LI1,2,4, Jianxin LI1,2,4   

  1. 1 School of Computer Science and Engineering, Beihang University, Beijing 100191, China
    2 Beijing Advanced Innovation Center for Big Data and Brain Computing, Beijing 100191, China
    3 School of Information Science and Engineering, Shandong Normal University, Jinan 250358, China
    4 Zhongguancun Laboratory, Beijing 100191, China
  • Online:2023-07-01 Published:2023-07-01
  • Supported by:
    The National Natural Science Foundation of China(U20B2053)


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.

Key words: industrial control system, multi-source data fusion, situation awareness, threat intelligence

CLC Number: 

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