The Approach of Identifying Fake Identity by using Hybrid Ant Neuro-Fuzzy Clustering based Method

With the advent of Internet the social media is growing in popularity and has become an integral part of the individual daily activities. Since all of us are so dependent on this social media that we cannot refrain ourselves even a couple of hours without social media and as result malicious users are increasing exponentially in social media with intent to gain access to the confidential information of the users. They used to create fake account and pretending to be others identity on the internet. So analysis of these fake users is an hour of need. In this paper we have proposed the new approach based on classification and clustering algorithms in order to identify the fake user. For this we have designed the new algorithm “Hybrid Ant Neuro-Fuzzy clustering based algorithm “which is based on Classifier to indemnify the purpose and used to find malicious user. We have tested this algorithm on various users – accounts and results got have been confirmed. This algorithm has fast classification accuracy and enhanced in many