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Impulse Technologies
                                      Beacons U to World of technology
        044-42133143, 98401 03301,9841091117 ieeeprojects@yahoo.com www.impulse.net.in
        Exploring The Design Space Of Social Network-Based Sybil
                               Defenses
   Abstract
          Recently, there has been significant research interest in leveraging social
   networks to defend against Sybil attacks. While much of this work may appear
   similar at first glance, existing social network-based Sybil defense schemes can be
   divided into two categories: Sybil detection and Sybil tolerance. These two
   categories of systems both leverage global properties of the underlying social
   graph, but they rely on different assumptions and provide different guarantees:
   Sybil detection schemes are application-independent and rely only on the graph
   structure to identify Sybil identities, while Sybil tolerance schemes rely on
   application-specific information and leverage the graph structure and transaction
   history to bound the leverage an attacker can gain from using multiple identities. In
   this paper, we take a closer look at the design goals, models, assumptions,
   guarantees, and limitations of both categories of social network-based Sybil
   defense systems.




  Your Own Ideas or Any project from any company can be Implemented
at Better price (All Projects can be done in Java or DotNet whichever the student wants)
                                                                                          1

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  • 1. Impulse Technologies Beacons U to World of technology 044-42133143, 98401 03301,9841091117 ieeeprojects@yahoo.com www.impulse.net.in Exploring The Design Space Of Social Network-Based Sybil Defenses Abstract Recently, there has been significant research interest in leveraging social networks to defend against Sybil attacks. While much of this work may appear similar at first glance, existing social network-based Sybil defense schemes can be divided into two categories: Sybil detection and Sybil tolerance. These two categories of systems both leverage global properties of the underlying social graph, but they rely on different assumptions and provide different guarantees: Sybil detection schemes are application-independent and rely only on the graph structure to identify Sybil identities, while Sybil tolerance schemes rely on application-specific information and leverage the graph structure and transaction history to bound the leverage an attacker can gain from using multiple identities. In this paper, we take a closer look at the design goals, models, assumptions, guarantees, and limitations of both categories of social network-based Sybil defense systems. Your Own Ideas or Any project from any company can be Implemented at Better price (All Projects can be done in Java or DotNet whichever the student wants) 1