A First Look on iMiner's Knowledge base and Detecting Hidden Hierarchy of Riyadh Bombing Terrorist Network
Nasrullah Memon · VBN Forskningsportal (Aalborg Universitet) · 2007
- Data collection is difficult to any network analysis because it is difficult to create a complete network. It is not easy to gain information on terrorist networks. It is fact that terrorist organizations do not provide information on their members and the government rarely allows researchers to use their intelligence data (Ressler S., 2006). Very few researchers (Krebs, V., 2002, Sageman, M., 2004 and Rodriguez, J. A., 2004) collected data from open sources, and to the best of our knowledge, no knowledge base is available in academia for the analysis of the terrorist events. To counter the information scarcity, we at Software Intelligence Security Research Center, Aalborg University Esbjerg Denmark designed and developed terrorism knowledge base by harvesting information from authenticated websites. In this paper we discuss data collection and analysis results on our on-going research of Investigative Data Mining (IDM). In addition, we present iMiner Information Harvesting System and describe how intelligence agencies could be benefited from detecting hierarchy in non-hierarchical terrorist networks. In this paper we present results of detection of hidden hierarchy of Riyadh Bombing Terrorist Network as a test bed.