Practical Algorithms for Subgroup Detection in Covert Networks

Nasrullah Memon, Uffe Kock Wiil, Pir Abdul Rasool Qureshi

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

Abstrakt

In this paper, we present algorithms for subgroup detection and

demonstrated them with a real-time case study of USS Cole bombing

terrorist network. The algorithms are demonstrated in an application by

a prototype system. The system finds associations between terrorist and

terrorist organisations and is capable of determining links between terrorism

plots occurred in the past, their affiliation with terrorist camps, travel record,

funds transfer, etc. The findings are represented by a network in the form

of an Attributed Relational Graph (ARG). Paths from a node to any other node

in the network indicate the relationships between individuals and organisations.

The system also provides assistance to law enforcement agencies, indicating

when the capture of a specific terrorist will more likely destabilise the terrorist

network. In this paper, we discuss the important application area related

to subgroups in a terrorist cell using filtering of graph algorithms. The novelty

of the algorithms can be easily found from the results they produce.

OriginalsprogEngelsk
TidsskriftInternational Journal of Business Intelligence and Data Mining
Vol/bind5
Udgave nummer2
Sider (fra-til)134-155
Antal sider22
ISSN1743-8187
StatusUdgivet - 2010

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