Intent Search and Centralized Sybil Defence Mechanism for Social Network

Abstract

Sybil attacks are the major problems occurred in the distributed systems without trusted identities. It occur when the one-to-one relationship between a node and its identity is violated. This is occurred by an attacker creates multiple pseudonymous identities and pretends to be multiple, distinct nodes in the system. Intent search is another important function in social network. It mostly depends on surrounding text features which leads to noisy search result. In this paper a new Sybil defence mechanism is introduced that is Sybil protector, in order to defend against attacks in social networks. It is efficient and scalable to large social network. Network topologies are used by the Sybil protector to defend against Sybil attacks in social networks. It can effectively identify the Sybil nodes and detect the Sybil community around a Sybil node. And also limits the number of attack edges in online social networks. Here also included a novel internet image search which only requires one-click user feedback. For that expanded keywords are used to create positive example images and to include more relevant images it enlarge the image pool. It consist of four steps.1) Adaptive similarity.2) Keyword expansion. 3) Visual query expansion. Intent image search is very effective because it has extremely simple user interface. IndexTerms: Sybil attack, Sybil identity, social networks, attack edge, keyword expansion.