MODELING EARLY WARNING SYSTEM TO PREDICT TERRORIST THREATS: PRILIMINARY RESULTS

摘要：

This paper presents a model for early warning system to detect terrorist threats. The model is based on data collection from open source intelligence methodology.We present a concept of generation early warning to predict terrorist threats. Our ideas rely on investigative data mining,and study of complex covert networks to extract useful information for terrorist threat indication.Presented model can be used as a core framework for early warning system.

作者: PIR ABDUL RASOOL QURESHI UFFE KOCK WIIL NASRULLAH MEMON

作者单位: Counterterrorism Research Lab The Maersk Mc-Kinney Moller Institute University of Southern Denmark,Campusvej 55,DK-5230,Odense,Denmark

会议类型: 国际会议

会议名称: The 10th International Symposium on Knowledge and System Sciences,The 6th International Conference on Knowledge Management(第10届国际知识与系统科学大会、第6届知识管理国际会议)

会议地点: 香港

会议语种:英文

页码: 179-190

在线出版日期: 2009-12-03（万方平台首次上网日期，不代表论文的发表时间）