International Journal of Advanced Networking and Applications

V. Perathu Selvi ¹, K. Raja Sundari ¹, P. J. Beslin Pajila ¹

Affiliations
1 Department of Computer Science, Francis Xavier Engineering College, Tirunelveli, IN

Abstract

While relentless spammers exploit the established trust relationships between account owners and their friends to efficiently spread malicious spam, timely detection of compromised accounts is quite challenging due to the well established trust relationship between the service providers, account owners, and their friends. In the proposed system, we propose identification of same user in different social network sites (SNS) and elimination of fake user account from the SNS. This is achieved via checking screen name, photo, friends list, gender, location, birthday and school / college education and working place. Using these behavioral features of user social behavior, it identifies the fake user. In the modification process, apart from the removal of anonymous accounts we also add on identification Friends based on user's mind set / Interest. We are monitoring Users Interest, Likes posted by the user and Android based mobility pattern analysis. Best friends are identified and security layer is enveloped by monitoring user's behavior pattern. Vulgar worded posts are removed and the user is terminated in case of misbehavior.

Keywords

Malicious Spam, Social Network Sites, Security.

Full Text