Terrorism, homeland safety and event management

Homeland Insecurity: Datamining, Terrorism Detection, and Confidentiality

Journal of Homeland Security and Emergency Management

As homeland security policy makers seek to funnel scarce resources to the most vulnerable areas, geographic impact studies have become ever more crucial since the events of September 11, 2001. In the sense that the Los Angeles and Long Beach ports are among the largest in the world, service interruptions there would have nation-wide economic impacts. Because foreign and domestic imports are in ...

Terrorism Event Classification Using Fuzzy Inference Systems

Terrorism has led to many problems in Thai societies, not only property damage but also civilian casualties. Predicting terrorism activities in advance can help prepare and manage risk from sabotage by these activities. This paper proposes a framework focusing on event classification in terrorism domain using fuzzy inference systems (FISs). Each FIS is a decisionmaking model combining fuzzy log...

Hostage Taking: Understanding Terrorism Event Dynamics

This paper employs advanced time series methods to identify the dynamic properties of three hostage taking series. The immediate and long run multipliers of three covariates—successful past negotiations, violent ends, and deaths—are identified. Each hostage series responds differently to the covariates. Past concessions have the strongest impact on generating future kidnapping events, supportin...

XGraphticsCLUS: Web Mining Hyperlinks and Content of Terrorism websites for Homeland Security

------------------------------------------------------------------ABSTRACT-------------------------------------------------------------World Wide Web has become one of the best and fast communication media and information could be distributed within few seconds to the world day by day. The evolution of social networking media increases it further more to transfer information in a rapid speed to...