Volume 9 • Issue 2 • PP: 74-89 • 2022
An Effective Approach to Terrorist Threat Prediction Using Data Fusion for Warning Signals
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© 2022 The Author(s). Published by ASPG. This article is licensed under the Creative Commons Attribution 4.0 International License (CC BY 4.0).
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Terrorist network research is crucial for both anticipating terrorist acts and extracting valuable information from existing unauthenticated sources. The best method for deciphering intricate terror networks is graphic analysis. The suggested study used a data fusion technique to analyze the terrorist network using the dataset from the terrorist assault in Mumbai on 26/11. In order to effectively forecast the terror threat, the study also focuses on finding the critical node. Wassi led the attack and was a key controlling agent, according to the measurement analysis. The information matched the government's report.
Keywords
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