On the modeling of honest players in reputation systems

Qing Zhang, Ting Yu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)

Abstract

The effectiveness of reputation-based trust management fundamentally relies on the assumption that an entity's future behavior may be predicted based on its past behavior. Though many reputation-based trust schemes have been proposed, they can often be easily exploited, as an attacker may adapt its behavior and make the above assumption invalid. In this paper, we build a statistic model for honest entities in decentralized systems, which serves as a profiling tool to identify suspicious entities. It can be combined with existing trust schemes to ensure that they are applied to entities whose transaction records are consistent with the statistic model. This approach limits the manipulation capability of adversaries, and thus can greatly improve the quality of reputation-based trust assessment.

Original languageEnglish
Title of host publicationProceedings - International Conference on Distributed Computing Systems
Pages249-254
Number of pages6
DOIs
Publication statusPublished - 22 Sep 2008
Externally publishedYes
Event28th International Conference on Distributed Computing Systems Workshops, ICDCS Workshops 2008 - Beijing, China
Duration: 17 Jun 200820 Jun 2008

Other

Other28th International Conference on Distributed Computing Systems Workshops, ICDCS Workshops 2008
CountryChina
CityBeijing
Period17/6/0820/6/08

Fingerprint

Statistics

ASJC Scopus subject areas

  • Hardware and Architecture

Cite this

Zhang, Q., & Yu, T. (2008). On the modeling of honest players in reputation systems. In Proceedings - International Conference on Distributed Computing Systems (pp. 249-254). [4577791] https://doi.org/10.1109/ICDCS.Workshops.2008.106

On the modeling of honest players in reputation systems. / Zhang, Qing; Yu, Ting.

Proceedings - International Conference on Distributed Computing Systems. 2008. p. 249-254 4577791.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Zhang, Q & Yu, T 2008, On the modeling of honest players in reputation systems. in Proceedings - International Conference on Distributed Computing Systems., 4577791, pp. 249-254, 28th International Conference on Distributed Computing Systems Workshops, ICDCS Workshops 2008, Beijing, China, 17/6/08. https://doi.org/10.1109/ICDCS.Workshops.2008.106
Zhang Q, Yu T. On the modeling of honest players in reputation systems. In Proceedings - International Conference on Distributed Computing Systems. 2008. p. 249-254. 4577791 https://doi.org/10.1109/ICDCS.Workshops.2008.106
Zhang, Qing ; Yu, Ting. / On the modeling of honest players in reputation systems. Proceedings - International Conference on Distributed Computing Systems. 2008. pp. 249-254
@inproceedings{1cc647a9759f42599eb1c91243f203ef,
title = "On the modeling of honest players in reputation systems",
abstract = "The effectiveness of reputation-based trust management fundamentally relies on the assumption that an entity's future behavior may be predicted based on its past behavior. Though many reputation-based trust schemes have been proposed, they can often be easily exploited, as an attacker may adapt its behavior and make the above assumption invalid. In this paper, we build a statistic model for honest entities in decentralized systems, which serves as a profiling tool to identify suspicious entities. It can be combined with existing trust schemes to ensure that they are applied to entities whose transaction records are consistent with the statistic model. This approach limits the manipulation capability of adversaries, and thus can greatly improve the quality of reputation-based trust assessment.",
author = "Qing Zhang and Ting Yu",
year = "2008",
month = "9",
day = "22",
doi = "10.1109/ICDCS.Workshops.2008.106",
language = "English",
isbn = "9780769531731",
pages = "249--254",
booktitle = "Proceedings - International Conference on Distributed Computing Systems",

}

TY - GEN

T1 - On the modeling of honest players in reputation systems

AU - Zhang, Qing

AU - Yu, Ting

PY - 2008/9/22

Y1 - 2008/9/22

N2 - The effectiveness of reputation-based trust management fundamentally relies on the assumption that an entity's future behavior may be predicted based on its past behavior. Though many reputation-based trust schemes have been proposed, they can often be easily exploited, as an attacker may adapt its behavior and make the above assumption invalid. In this paper, we build a statistic model for honest entities in decentralized systems, which serves as a profiling tool to identify suspicious entities. It can be combined with existing trust schemes to ensure that they are applied to entities whose transaction records are consistent with the statistic model. This approach limits the manipulation capability of adversaries, and thus can greatly improve the quality of reputation-based trust assessment.

AB - The effectiveness of reputation-based trust management fundamentally relies on the assumption that an entity's future behavior may be predicted based on its past behavior. Though many reputation-based trust schemes have been proposed, they can often be easily exploited, as an attacker may adapt its behavior and make the above assumption invalid. In this paper, we build a statistic model for honest entities in decentralized systems, which serves as a profiling tool to identify suspicious entities. It can be combined with existing trust schemes to ensure that they are applied to entities whose transaction records are consistent with the statistic model. This approach limits the manipulation capability of adversaries, and thus can greatly improve the quality of reputation-based trust assessment.

UR - http://www.scopus.com/inward/record.url?scp=51849157862&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=51849157862&partnerID=8YFLogxK

U2 - 10.1109/ICDCS.Workshops.2008.106

DO - 10.1109/ICDCS.Workshops.2008.106

M3 - Conference contribution

AN - SCOPUS:51849157862

SN - 9780769531731

SP - 249

EP - 254

BT - Proceedings - International Conference on Distributed Computing Systems

ER -