An Efficient Methodology to Predict the Terrorist Threat using Data Fusion Approach for Warning Indications

• Saurabh Singh

  Author

• Dinkar Dubey

  Author

• Akhilesh Tiwari

  Author

Terrorist network analysis is important for predicting terror attacks and for obtaining significant data from unauthenticated data available. Graphical analysis is the most instructive tool for interpreting complex terror networks. In the proposed study, the data set from the 26/11 Mumbai attack terrorist was considered for analyzing the terrorist network by employing a data fusion approach. The study also focuses on identifying the key node to predict the terror threat accurately. From the measurement analysis, it was found that Wassi was predominant in leading the attack and was a prominent controlling agent. The data was in alignment with the report obtained from the government. 

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