Detecting Suspicious Discussion on Online Forums Using Data Mining

Abstract

As we know people are using lot of social business and many other platforms for different purposes by using internet. Huge amount of data is transferred over networks. Internet has made communication and business online very easy and fast. People are using internet world wide for different purposes. Where internet technology is used for positive purposes same as it is also used for negative or illegal activities. These platforms are also used for lot of illegal activities like terrorism, threads, violation of copyrights, phishing scams, frauds and spams etc. The law enforcement agencies and departments are trying to overcome these problems by using different techniques. This paper includes some tools and techniques to detect these illegal activities on online forums by identifying suspicious discussions, words, users and groups. Stop word, Stemming Algorithm, Suffix & Affix Stemmers, Emotional Algorithms, Levenshtein algorithm, Classification, Brute Force Algorithms and some statistical formulas are discussed in this paper to detect suspicious activities on online forums.