IPTPS '01 Revised Papers from the First International Workshop on Peer-to-Peer Systems
The Eigentrust algorithm for reputation management in P2P networks
WWW '03 Proceedings of the 12th international conference on World Wide Web
PPay: micropayments for peer-to-peer systems
Proceedings of the 10th ACM conference on Computer and communications security
Limited reputation sharing in P2P systems
EC '04 Proceedings of the 5th ACM conference on Electronic commerce
Robust incentive techniques for peer-to-peer networks
EC '04 Proceedings of the 5th ACM conference on Electronic commerce
PeerTrust: Supporting Reputation-Based Trust for Peer-to-Peer Electronic Communities
IEEE Transactions on Knowledge and Data Engineering
A taxonomy of rational attacks
IPTPS'05 Proceedings of the 4th international conference on Peer-to-Peer Systems
PeerMint: decentralized and secure accounting for peer-to-peer applications
NETWORKING'05 Proceedings of the 4th IFIP-TC6 international conference on Networking Technologies, Services, and Protocols; Performance of Computer and Communication Networks; Mobile and Wireless Communication Systems
A taxonomy of incentive patterns
AP2PC'03 Proceedings of the Second international conference on Agents and Peer-to-Peer Computing
Hi-index | 0.02 |
Fully decentralized peer-to-peer (P2P) systems do not have a central control mechanism. Thus, different forms of control mechanisms are required to deal with selfish peers. One type of selfish behavior is the consumption of resources without providing sufficient resources. Therefore, incentive schemes encourage peers to share resources while punishing selfish peers. A well-known example of an incentive scheme is Tit-for-Tat (TFT), as used in BitTorrent. With this scheme, a peer can only consume as much resources as it provides. TFT is resilient to collusion due to relying on private histories only. However, TFT can only be applied to peers with direct reciprocity.This paper presents a private and shared history (PSH) based incentive mechanism, which supports transitive relations (indirect reciprocity). Furthermore, it is resilient to collusion and it combines private and shared histories in an efficient manner. The PSH approach uses a shared history for identifying transitive relations. Those relations are verified using private histories. Simulations show that the PSH mechanism has a higher transaction success ratio than TFT.