The Second International Conference on Availability, Reliability and Security (ARES'07) Detecting Critical Regions in Covert Networks: A Case Study of 9/11 Terrorists Network Vienna, Austria April 10-April 13 ISBN: 0-7695-2775-2
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ARES.2007.70
This paper presents the study of structural cohesion which is discussed in Social Network Analysis (SNA), but can also be used in several other important application areas including investigative data mining for destabilizing terrorist networks. Structural cohesion is defined as the number of actors who, if removed from a group, would disconnect the group. In this paper we discuss structural cohesion concepts, such as cliques, n-cliques, n-clans and k-plex to determine familiarity, robustness and reachability within subgroups of the 9/11 terrorist network. Moreover we also propose a methodology of detecting critical regions in covet networks; removing/ capturing those nodes will disrupt most of the network.
Citation:
Nasrullah Memon, Kim C. Kristoffersen, David L. Hicks, Henrik Legind Larsen, "Detecting Critical Regions in Covert Networks: A Case Study of 9/11 Terrorists Network," ares, pp.861-870, The Second International Conference on Availability, Reliability and Security (ARES'07), 2007 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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