Power-Aware Localized Routing in Wireless Networks
IEEE Transactions on Parallel and Distributed Systems
Pastry: Scalable, Decentralized Object Location, and Routing for Large-Scale Peer-to-Peer Systems
Middleware '01 Proceedings of the IFIP/ACM International Conference on Distributed Systems Platforms Heidelberg
Robust incentive techniques for peer-to-peer networks
EC '04 Proceedings of the 5th ACM conference on Electronic commerce
Free-riding and whitewashing in peer-to-peer systems
Proceedings of the ACM SIGCOMM workshop on Practice and theory of incentives in networked systems
Byzantine fault tolerant public key authentication in peer-to-peer systems
Computer Networks: The International Journal of Computer and Telecommunications Networking - Management in peer-to-peer systems
Scrivener: providing incentives in cooperative content distribution systems
Proceedings of the ACM/IFIP/USENIX 2005 International Conference on Middleware
Improving cooperation in peer-to-peer systems using social networks
IPDPS'06 Proceedings of the 20th international conference on Parallel and distributed processing
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Due to the dynamic nature of peer-to-peer (P2P) systems, it is impossible to keep an accurate history of the transactions that take place while avoiding security attacks such as whitewashing and collusion, and abuse such as freeriding. This is why it is important to develop a mechanism that both rewards cooperative peers and punishes misbehaving peers. Modelling P2P networks as social structures can allow incentive mechanisms to be developed that prevent the negative behaviours mentioned. In a social structure, peers make and receive payments for services provided to and from each other. In this paper, we extend a social network algorithm to include the transfer of credit between peers to reduce the path length in queries. We also develop a selection strategy that involves different aspects of peer interactions in P2P networks and a credit transfer mechanism that helps to discourage misbehaving peers by taking away credits that they have with good peers and transferring them to more cooperative ones. The simulation results show that our algorithm is effective in reducing the amount of debt between peers, meaning that peers become more cooperative, and shortening the average path length to a satisfied query, while increasing delivery ratio.