Autonomic Computing Architecture for SCADA Cyber Security

Journal article

Patel, S., Nazir, S and Patel, D. (2017). Autonomic Computing Architecture for SCADA Cyber Security. International Journal of Cognitive Informatics and Natural Intelligence. 11 (4). https://doi.org/10.4018/IJCINI.2017100104
AuthorsPatel, S., Nazir, S and Patel, D.
Abstract

Cognitive computing relates to intelligent computing platforms that are based on the disciplines of artificial intelligence, machine learning, and other innovative technologies. These technologies can be used to design systems that mimic the human brain to learn about their environment and can autonomously predict an impending anomalous situation. IBM first used the term ‘Autonomic Computing’ in 2001 to combat the looming complexity crisis (Ganek and Corbi, 2003). The concept has been inspired by the human biological autonomic system. An autonomic system is self-healing, self-regulating, self-optimising and self-protecting (Ganek and Corbi, 2003). Therefore, the system should be able to protect itself against both malicious attacks and unintended mistakes by the operator.

KeywordsSCADA Systems; Autonomic Computing; Cyber Security; Cognitive Computing; Artificial Intelligence And Image Processing; Cognitive Science
Year2017
JournalInternational Journal of Cognitive Informatics and Natural Intelligence
Journal citation11 (4)
PublisherIGI Global Publishing
ISSN1557-3958
Digital Object Identifier (DOI)https://doi.org/10.4018/IJCINI.2017100104
Publication dates
Online01 Oct 2017
Publication process dates
Deposited28 Nov 2017
Accepted04 Sep 2017
Accepted author manuscript
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Open
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