University of Bahrain
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Network Attack Analysis and the Behaviour Engine

Show simple item record Benham,Anthony Read, Huw Sutherland,Iain 2018-07-31T08:49:33Z 2018-07-31T08:49:33Z 2013
dc.identifier.issn 2210-1519
dc.description.abstract Behaviour Engines allow the acquisition of tacit knowledge by using a learn-by-doing workflow and provide a direct interface between the expert user and the developing project code based on an intuitive justification-conclusion language; thus surpassing legacy policy engines by being a self developing and learning mechanism. This paper seeks to formulate the current state of the art in technology and processes and attempts to merge the application of ontological decision techniques of behaviour engines with network packet capture data, to detect data exfiltration attempts over covert channelling. The final goal of the research will be to develop a behaviour engine/intrusion detection solution for pre-emptive counter-measures to anomalous behaviour from within or without a network.speed. en_US
dc.language.iso en en_US
dc.publisher University of Bahrain en_US
dc.rights Attribution-NonCommercial-ShareAlike 4.0 International *
dc.rights.uri *
dc.subject Behaviour Engines
dc.subject Intrusion Detection/Prevention
dc.subject Advanced Persistent Threats
dc.subject Covert Channels
dc.subject Data Exfiltration
dc.title Network Attack Analysis and the Behaviour Engine en_US
dc.type Article en_US
dc.volume 01
dc.issue 02
dc.source.title International Journal of Computing and Network Technology
dc.abbreviatedsourcetitle IJCNT

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