A Secure User Image Privacy Preserving Technique to Avoid Clone Attack in Online Social Network

Abstract

<jats:p>The hundreds of thousands of active users everywhere in the globe use online social community, inclusive of Facebook, Twitter, Tumbler and LinkedIn. This makes it handy for fake profile cloning and compromise user information. This system, uses information to be hidden in a profile photos with a hidden information to detect profiles which are fake and any attacks that’s taken place by botnet. This project presents the detection mechanisms of social network based attacks that takes place online, analysis of the profile with interval in time and sequenced Protocol. This project we have proposed data hiding with the use of discrete wavelet transform algorithm. Thus it will save you from clone attack and provide entire user statistic with private record. Thus we will capable of keeping away from clone attacks in social media networks.</jats:p>