Cybersecurity for industrial control systems: A survey
Author | Bhamare, D. |
Author | Zolanvari, M. |
Author | Erbad, A. |
Author | Jain, R. |
Author | Khan, K. |
Author | Meskin, Nader |
Available date | 2022-04-14T08:45:39Z |
Publication Date | 2020 |
Publication Name | Computers and Security |
Resource | Scopus |
Identifier | http://dx.doi.org/10.1016/j.cose.2019.101677 |
Abstract | Industrial Control System (ICS) is a general term that includes supervisory control & data acquisition (SCADA) systems, distributed control systems (DCS), and other control system configurations such as programmable logic controllers (PLC). ICSs are often found in the industrial sectors and critical infrastructures, such as nuclear and thermal plants, water treatment facilities, power generation, heavy industries, and distribution systems. Though ICSs were kept isolated from the Internet for so long, significant achievable business benefits are driving a convergence between ICSs and the Internet as well as information technology (IT) environments, such as cloud computing. As a result, ICSs have been exposed to the attack vectors used in the majority of cyber-attacks. However, ICS devices are inherently much less secure against such advanced attack scenarios. A compromise to ICS can lead to enormous physical damage and danger to human lives. In this work, we have a close look at the shift of the ICS from stand-alone systems to cloud-based environments. Then we discuss the major works, from industry and academia towards the development of the secure ICSs, especially applicability of the machine learning techniques for the ICS cyber-security. The work may help to address the challenges of securing industrial processes, particularly while migrating them to the cloud environments. |
Sponsor | American Association for the Advancement of Science; IEEE Foundation; Qatar Foundation; Qatar National Research Fund; Anacostia Community Museum; Academy of Science of St. Louis |
Language | en |
Publisher | Elsevier Ltd |
Subject | Cloud computing Computation theory Computer crime Distributed parameter control systems Industrial plants Intrusion detection Learning systems Machine learning Man machine systems Network security Programmable logic controllers SCADA systems Cyber security Distribution systems Industrial control systems Intrusion Detection Systems Machine learning techniques Programmable logic controllers (PLC) System configurations Water treatment facilities Industrial water treatment |
Type | Article Review |
Volume Number | 89 |
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Electrical Engineering [2611 items ]