Uncovering Social Spammers -Evaluation And Detection

Abstract

For cyber criminals compromising social network accounts has turned into a beneficial strategy. Across the globe well known sites have millions of users and they suffer from a lot of security privacy and threats like profile cloning viral marketing rupture of security etc. By hijacking the control of a particular account, attackers or hackers can disperse their malicious information to an extensive client. It may affect the reputation of different organizations and leads to losses in financial markets. In this work, we show how we can utilize similar procedures to distinguish compromises of individual high profile accounts and they have one trademark that make this detection reliable. Behavioural analysis of each account has taken in order to get the normal behaviour of an account.