DocumentCode :
3161582
Title :
Intelligent gateway for SCADA system security: A multi-layer attack prevention approach
Author :
Panja, Biswajit ; Oros, Josh ; Britton, Jaime ; Meharia, Priyanka ; Pati, Sourav
Author_Institution :
Univ. of Michigan-Flint, Flint, MI, USA
fYear :
2015
fDate :
12-14 June 2015
Firstpage :
1
Lastpage :
6
Abstract :
This paper proposes an intelligent gateway system for SCADA networks to avoid DOS attacks. The proposed approach provides details about an SIG system architecture which establishes the connection between Master SIGs and Perimeter SIGs, the traffic flow, major alerts, and minor alerts. Simulation experiments are an indispensable phase to analyze and assess the security of SCADA (Supervisory Control and Data Acquisition) systems. Although numerous experiments have taken place, limitations are still not been shrunk. The SCADA Intelligence Gateway concept proposed in this paper is experimentally proved and showed its ability to secure the SCADA system from attacks. The intelligence learning mechanism established the ability to identify malicious traffic through bot production and simulation environments.
Keywords :
SCADA systems; computer network security; learning (artificial intelligence); telecommunication traffic; DOS attack avoidance; SCADA intelligence gateway concept; SCADA system security; SIG system architecture; bot production; intelligence learning mechanism; intelligent gateway system; malicious traffic identification; master SIGs; multilayer attack prevention approach; perimeter SIGs; simulation environments; supervisory control and data acquisition systems; traffic flow; Artificial intelligence; Bandwidth; Monitoring; SCADA systems; Security; Temperature sensors; Bandwidth Allowance; DOS; Master SIG; Perimeter SIG; SCADA;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA), 2015 IEEE International Conference on
Conference_Location :
Shenzhen
Type :
conf
DOI :
10.1109/CIVEMSA.2015.7158627
Filename :
7158627
Link To Document :
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