DocumentCode
3491783
Title
Managing critical infrastructures through behavioural observation
Author
Hurst, Wolfgang ; Merabti, Madjid ; Fergus, P.
Author_Institution
PROTECT: Res. Centre for Critical Infrastruct. Comput. Technol. & Protection, Liverpool John Moores Univ., Liverpool, UK
fYear
2012
fDate
13-14 Dec. 2012
Firstpage
1
Lastpage
6
Abstract
Managing critical infrastructures under the growing cyber-threat is becoming a matter of international urgency. The volume and frequency of cyber-related incidents on the rise yearly, and the level of sophistication is increasing. Critical infrastructures are key service providers and heavily interconnected, meaning any damaging impact would result in devastating consequences and potential cascading failure. In this paper, our system, which uses behavioural observation techniques to offer a level of critical infrastructure support, is detailed. Our approach monitors the operation of an infrastructure and identifies any abnormalities which occur by detecting changes in patterns of behaviour. This is done through the development of a model of correct behaviour which then acts as inference model for expected system behaviour. Using this inference model, we then highlight a threat to our simulation environment by observing changes in patterns of activity. Related research and the results of our implementation is discussed.
Keywords
digital simulation; inference mechanisms; security of data; behavioural observation technique; correct behaviour; critical infrastructure management; critical infrastructure support; cyber-related incident; cyber-threat; expected system behaviour; inference model; simulation environment; Computers; Data models; Government; Humans; Monitoring; Real-time systems; Security; Behavioural Observation; Critical Infrastructure Protection; Cyber-attack; Inference Model; Middleware;
fLanguage
English
Publisher
ieee
Conference_Titel
Networked Embedded Systems for Every Application (NESEA), 2012 IEEE 3rd International Conference on
Conference_Location
Liverpool
Print_ISBN
978-1-4673-4721-1
Type
conf
DOI
10.1109/NESEA.2012.6474015
Filename
6474015
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