Analysis and Prediction of Terrorist Attacks using Data Mining

Conference: Recent Application and Trends in Modern Engineering
Author(s): H Kavitha, Rounak Agarwal, Vinay Kumar Year: 2018
Grenze ID: 02.RATME.2018.1.508 Page: 139-148

Abstract

Terrorism is a complex and evolving phenomenon. In the past few\ndecades, we witnessed an increase in the number of terrorist incidents in the\nworld. Even though the probability of high lethal terrorist incidents in India is\nlow, Perpetrators now use sophisticated weapons and the attacks are more and\nmore lethal. Currently, terrorist incidents are highly unpredictable which allows\nterrorist groups to attack by surprise. The unpredictability is partly due to the lack\nof real time data and adequate risk analysis methodologies. To narrow the gap\nbetween terrorist groups and counter-terrorism experts, it is imperative to develop\nnovel and proven methodologies along with sophisticated systems specially\ndesigned to solve terrorism related issues. In this paper we propose a framework\nto perform geospatial analysis, exploratory analysis of terrorist incident. We also\npredict the number of upcoming terrorist attacks for each month of the next year.\nThis system can be widely used by National security agencies to take proactive\nmeasures like deploying more troops or giving alarming message to police\nstations in areas where terrorist bombing prediction is high.

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RATME - 2018