Date of Publication :19th February 2018

Abstract: The aim of this paper is to design a system for the identification of suspicious user profiles using Ant Colony Optimization algorithm. The communication technologies and their advancements have greatly influenced our daily lives. The technologies like social networking websites, blogs, chat forums, instant messengers and many more are leading various fascinating trends in today’s world. Unfortunately, the increase in suspicious activities is one of the major causes due to the misuse of the technology. The internet is loaded with very large amount of data. Some people make use of the technology to spread rumours, to spread violence, bully other people, spread hate messages or even perform criminal activities like financial frauds etc. and thus increasing the amount of suspicious content over the internet. In this paper, textual data from social networking websites is considered to detect the suspicious user profiles. A suspicious user profile (SUP) detection system is proposed which considers the text based data as input and retrieves the suspicious user profile based on the extracted features.

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