Qiao Lian, Yu Peng, Mao Yang, Zheng Zhang +, Yafei Dai, and Xiaoming ...  Home/Search
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Abstract: Much work has been done to address the need for incentive models in real deployed peer-to-peer networks. In this paper, we discuss problems found with the incentive model in a large, deployed peer-to-peer network, Maze. We evaluate several alternatives, and propose an incentive system that generates preferences for wellbehaved nodes while correctly punishing colluders. We discuss our proposal as a hybrid between Tit-for-Tat and EigenTrust, and show its effectiveness through simulation of real... (Update)
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BibTeX entry: (Update)
@misc{ yu-robust,
author = "Qiao Lian Yu",
title = "Robust Incentives via Multi-level Tit-for-tat",
url = "citeseer.ist.psu.edu/747490.html" }
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432 The Evolution of Cooperation (context) - Axelrod - 1984
179 The Sybil Attack - Douceur - 2002
136 The EigenTrust Algorithm for Reputation Management in P2P Ne.. - Kamvar, Schlosser et al. - 2003
118 The free haven project: Distributed anonymous storage servic.. - Dingledine, Freedman et al. - 2009
73 Incentives Build Robustness in BitTorrent - Cohen - 2003
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1 An Empirical Study of Free-Riding Behavior in the Maze P2P F.. (context) - Yang, Zhang et al. - 2005
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