DocumentCode :
3576178
Title :
Multi-agent approach for anomaly detection in automation networks
Author :
Parmar, Arun ; Gnanadhas, Jonathan ; Mini, T.T. ; Abhilash, G. ; Biswal, Abhinna Chandra
Author_Institution :
Power Technol. Dept., ABB Global Ind. & Services Ltd., Bangalore, India
fYear :
2014
Firstpage :
225
Lastpage :
230
Abstract :
Industrial Automation systems are considered critical infrastructure as part of process and power plants. In view of the increased attacks on energy utilities, it has become a norm for the customers to be comprehended by the security requirements. Industrial Automation and Power System standards have evolved to address these requirements. An approach aligned to these standards and well integrated into the automation architecture can play a significant role in helping customer to protect the critical infrastructure from various cyber security issues. For that it really requires multi-agent based approach which protect industrial automation infrastructure at different layer. This paper proposes new solution based on multi-agent concept for the latest plant automation systems to protect customer investments through integrating security standards into the automation solutions as well as approaching more defenses in depth approaches aligning to IEC 62351 and ISA 99 standards for Industrial Control System Security.
Keywords :
IEC standards; industrial control; multi-agent systems; power engineering computing; power system control; security of data; IEC 62351; ISA 99 standards; Industrial Control System Security; anomaly detection; automation networks; industrial automation infrastructure; multiagent based approach; plant automation systems; power plants; security standards; Automation; Control systems; Process control; Protocols; Security; Servers; Standards; Cyber Security; Distribution Automation; IEC 62351; Industrial Automation; Industrial Network; Network Analysis; Network Security; Smart-Grid;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Circuits, Communication, Control and Computing (I4C), 2014 International Conference on
Print_ISBN :
978-1-4799-6545-8
Type :
conf
DOI :
10.1109/CIMCA.2014.7057795
Filename :
7057795
Link To Document :
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