Industrial control system security taxonomic framework with application to a comprehensive incidents survey

被引:14
|
作者
Ahmadian, Mohammad Mehdi [1 ]
Shajari, Mehdi [1 ]
Shafiee, Mohammad Ali [1 ]
机构
[1] Amirkabir Univ Technol, Dept Comp Engn & Informat Technol, Tehran, Iran
关键词
Industrial control systems; SCADA security threats; Cyber security incidents; Critical infrastructure; Attack taxonomy;
D O I
10.1016/j.ijcip.2020.100356
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In recent years, the number of cyber-physical incidents in industrial control systems (ICSs) has increased. Providing a framework for ICS threat intelligence is of utmost importance because of the critical role of ICSs in the nations' critical infrastructures. In this paper, after a short review of various threats and security incidents' taxonomies in the cyber-physical scope, we propose the Hierarchical Taxonomic Framework (HTF) with required characteristics for classifying attacks and security incidents in ICSs. We applied the HTF to analyze 268 available public security incidents on ICSs reported between 1982 and 2018. Among these 268 incidents, there are 147 attacks and 121 non-attack security incidents. The HTF and the analytical incidents study are carried out to extract the useful patterns and key points for organizing threat intelligence in ICSs and critical infrastructures to improve their security level according to the cyber-attacks trends. (C) 2020 Elsevier B.V. All rights reserved.
引用
收藏
页数:22
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