Prediction of Terrorism and Threats Using Machine Learning

Abstract

The number of terror attacks is increasing globally from day to day and we have a need to analyze and predict the occurrence of the terror attacks. The effect of the terrorism increases mainly due to the internet, i.e., internet leaves as a platform to spread the terrorism in major 9/11 attacks in India, the attack created more havoc due to social media. So, when the government announces the major policies it will make the people to stay away from the social media to avoid terror attacks. We have a database called as GTD (Global Terrorism Database) which has the information about the terrorism activities. So, by using the information by this database, we can use some algorithms like Random Forest Algorithm, Gaussian Naive Bayes and Decision Tree Algorithm to predict and measure the accuracy of the occurrence of the terror attacks in may be future also. This will shows the list of countries that are involved in the major terror activities and the losses that are occurred to the countries till date due to terrorism.