Title :
A sybil-proof referral system based on multiplicative reputation chains
Author :
Kesidis, G. ; Tangpong, A. ; Griffin, C.
Author_Institution :
Pennsylvania State Univ., University Park, PA, USA
fDate :
11/1/2009 12:00:00 AM
Abstract :
Transactions between peers in social networks generate direct reputation (social capital) information. This can be augmented with indirect referrals, on demand or continually, thus giving peers additional information prior to engaging in transactions with others. Despite proposed deterrents such as identity acquisition costs, false referrals through sybil identities pose a significant threat. In this note, we show how a reputation system which multiplicatively chains referrals, and adds referrals from different referral paths/chains, is sybil-proof.
Keywords :
Internet; peer-to-peer computing; social networking (online); telecommunication security; false referral; identity acquisition cost; multiplicative reputation chain; peer-to-peer network; social network; sybil-proof referral system; Authentication; Costs; Cryptography; Humans; Internet; Peer to peer computing; Social network services; Reputation, referral, sybil, peer to peer, social networks;
Journal_Title :
Communications Letters, IEEE
DOI :
10.1109/LCOMM.2009.091400