Detection of Cyber Crime on Social Media using Random Forest Algorithm

Abstract

The advancement of Internet Technology has lead to cyber crime, security issues, intruders and hackers. Social Media platforms have gained tremendous popularity as it is the most effective and efficient way to communicate and share information. Over billion of users are connected through Social Media and lack of awareness regarding the privacy and security concern leads to increase the cyber crime. Cyber Crime investigation is one of the wide range applications of Data Mining and it can be used to predict & detect crime. This benefits society and promotes better living. In this research paper, we analyze the cyber crime over the social media using the Data Mining algorithm i.e. Random Forest Algorithm. We have compared the algorithms based on the F-measure value corresponding to the Accuracy and the precision rating using WEKA. Also, we have proposed an extensively feasible to implement model and will be able to help us develop functionality to automatically classify the threat and capture the user differently.