In peer-to-peer (P2P) networks, reputation is used to estimate the trustworthiness of servents and to help prevent untrustworthy resources from spreading by malicious servents. However, in dynamic scenarios with arrivals and departures of servents and resources, servent reputation is not enough to reduce the impacts of malicious behaviors such as lying, whitewashing, etc. In this paper, we propose a new reputation management model using both servent and resource reputation and demonstrate detail protocols to implement our model in structured P2P networks. Simulation results show that our model can reduce the rate of downloading untrustworthy resources more rapidly than the previous models even in dynamic scenarios where servents can rejoin with new identities, introduce new untrustworthy resources, and send wrong feedbacks. Also, we show that the proposed model and protocol can effectively share the load between servents.
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O-Hoon KWON, So Young LEE, Jong KIM, "FileTrust: Reputation Management for Reliable Resource Sharing in Structured Peer-to-Peer Networks" in IEICE TRANSACTIONS on Communications,
vol. E90-B, no. 4, pp. 826-835, April 2007, doi: 10.1093/ietcom/e90-b.4.826.
Abstract: In peer-to-peer (P2P) networks, reputation is used to estimate the trustworthiness of servents and to help prevent untrustworthy resources from spreading by malicious servents. However, in dynamic scenarios with arrivals and departures of servents and resources, servent reputation is not enough to reduce the impacts of malicious behaviors such as lying, whitewashing, etc. In this paper, we propose a new reputation management model using both servent and resource reputation and demonstrate detail protocols to implement our model in structured P2P networks. Simulation results show that our model can reduce the rate of downloading untrustworthy resources more rapidly than the previous models even in dynamic scenarios where servents can rejoin with new identities, introduce new untrustworthy resources, and send wrong feedbacks. Also, we show that the proposed model and protocol can effectively share the load between servents.
URL: https://global.ieice.org/en_transactions/communications/10.1093/ietcom/e90-b.4.826/_p
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@ARTICLE{e90-b_4_826,
author={O-Hoon KWON, So Young LEE, Jong KIM, },
journal={IEICE TRANSACTIONS on Communications},
title={FileTrust: Reputation Management for Reliable Resource Sharing in Structured Peer-to-Peer Networks},
year={2007},
volume={E90-B},
number={4},
pages={826-835},
abstract={In peer-to-peer (P2P) networks, reputation is used to estimate the trustworthiness of servents and to help prevent untrustworthy resources from spreading by malicious servents. However, in dynamic scenarios with arrivals and departures of servents and resources, servent reputation is not enough to reduce the impacts of malicious behaviors such as lying, whitewashing, etc. In this paper, we propose a new reputation management model using both servent and resource reputation and demonstrate detail protocols to implement our model in structured P2P networks. Simulation results show that our model can reduce the rate of downloading untrustworthy resources more rapidly than the previous models even in dynamic scenarios where servents can rejoin with new identities, introduce new untrustworthy resources, and send wrong feedbacks. Also, we show that the proposed model and protocol can effectively share the load between servents.},
keywords={},
doi={10.1093/ietcom/e90-b.4.826},
ISSN={1745-1345},
month={April},}
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TY - JOUR
TI - FileTrust: Reputation Management for Reliable Resource Sharing in Structured Peer-to-Peer Networks
T2 - IEICE TRANSACTIONS on Communications
SP - 826
EP - 835
AU - O-Hoon KWON
AU - So Young LEE
AU - Jong KIM
PY - 2007
DO - 10.1093/ietcom/e90-b.4.826
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E90-B
IS - 4
JA - IEICE TRANSACTIONS on Communications
Y1 - April 2007
AB - In peer-to-peer (P2P) networks, reputation is used to estimate the trustworthiness of servents and to help prevent untrustworthy resources from spreading by malicious servents. However, in dynamic scenarios with arrivals and departures of servents and resources, servent reputation is not enough to reduce the impacts of malicious behaviors such as lying, whitewashing, etc. In this paper, we propose a new reputation management model using both servent and resource reputation and demonstrate detail protocols to implement our model in structured P2P networks. Simulation results show that our model can reduce the rate of downloading untrustworthy resources more rapidly than the previous models even in dynamic scenarios where servents can rejoin with new identities, introduce new untrustworthy resources, and send wrong feedbacks. Also, we show that the proposed model and protocol can effectively share the load between servents.
ER -