Today from security point of view, the increasing demand of network connectivity makes the system insecure. So we need a complement that can cope / prevent the security breaches in system. Unfortunately, in many environments, it may not be feasible to render the computer system immune to all type of intrusions. The motivation behind this project is to develop a complement system i. e. Sybil detection that can prevent all possible breaks-ins. In Sybil attack each node can be preferred to as a separate webpage that the spammer creates, and each of these webpages interlink to each other thus forming a network similar to link farms. The spamming webpages link to other nodes and thus create a huge linked for improving popularity. In this paper we are introduce anti-image spamming technique for preventing to Sybil attack to attackers . Our objective is to work on to the real time research desired scenario where the work is needed to be done. Sybil attack is one of the scenario where a work has been done to deal with Sybil attack efficiently in some of the field but still there are more has to be done which we want to carry forward with the help of spamming image detection and prevention technique with the help of image anti-spamming technique. In this paper we present result analysis based on the Sybil detected by different technique performed by us.

Anti-image spamming Sybil attack Social Network OCR Technique