Detecting Sybil Nodes
Journal Title: International Journal of Engineering and Science Invention - Year 2018, Vol 7, Issue 7
Abstract
Asocialnetworkisasystemwhichisastructuremadeupof actors such as individuals or organizations, and ties between these actors such as interactions, relationships, and connections. Formally, in the literature, this is almost always represented as a graph which we refer to as the social graph. The nodes of such a graph represents an actor and the edges represent ties between those actors. An online social network has a representation of a user (usually a profile) and his or her social links, although other services are often incorporated. These systems are vulnerable to Sybil attacks, which affects the performance of the system. The Sybil identities can “suppress” the honest identities in a variety of tasks, including online content ranking, DHT routing, file sharing, reputation systems, and Byzantine failure defences. So to protect network from such attacks so much research has done. The proposed system is a mechanism that is leverages the network topologies to defend against Sybil attacks in social network. The mechanism works based on limited number of random walks on the social graph. The system will be having algorithms such as Sybil Identification algorithm and Sybil community detection algorithm and also the combination of both. We propose two approaches to limiting the number of attack edges in online social networks.
Authors and Affiliations
Kamble Madhuri D. , Prof. Gaikwad Ujwala V.
Keywords
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