research-article

StereoTrust: a group based personalized trust model

Authors:

Anwitaman Datta,

Krzysztof Rzadca,

Ee-Peng LimAuthors Info & Claims

CIKM '09: Proceedings of the 18th ACM conference on Information and knowledge management

Pages 7 - 16

https://doi.org/10.1145/1645953.1645958

Published: 02 November 2009 Publication History

Abstract

Trust plays important roles in diverse decentralized environments, including our society at large. Computational trust models help to, for instance, guide users' judgements in online auction sites about other users; or determine quality of contributions in web 2.0 sites. Most of the existing trust models, however, require historical information about past behavior of a specific agent being evaluated - information that is not always available. In contrast, in real life interactions among users, in order to make the first guess about the trustworthiness of a stranger, we commonly use our "instinct" - essentially stereotypes developed from our past interactions with "similar" people. We propose StereoTrust, a computational trust model inspired by real life stereotypes. A user forms stereotypes using her previous transactions with other agents. A stereotype contains certain features of agents and an expected outcome of the transaction. These features can be taken from agents' profile information, or agents' observed behavior in the system. When facing a stranger, the stereotypes matching stranger's profile are aggregated to derive his expected trust. Additionally, when some information about stranger's previous transactions is available, StereoTrust uses it to refine the stereotype matching. According to our experiments, StereoTrust compares favorably with existing trust models that use different kind of information and more complete historical information. Moreover, because evaluation is done according to user's personal stereotypes, the system is completely distributed and the result obtained is personalized. StereoTrust can be used as a complimentary mechanism to provide the initial trust value for a stranger, especially when there is no trusted, common third parties.

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Cited By

Falcone RSapienza A(2023)The Role of Trust in Dependence Networks: A Case StudyInformation10.3390/info1412065214:12(652)Online publication date: 7-Dec-2023
https://doi.org/10.3390/info14120652
Sapienza AFalcone R(2023)Exploiting autonomy in a User-IoT system collaborative trust modelInternational Journal of Parallel, Emergent and Distributed Systems10.1080/17445760.2023.2234166(1-13)Online publication date: 24-Jul-2023
https://doi.org/10.1080/17445760.2023.2234166
Parmentier ACohen RMa XSahu GChen Q(2022)Personalized multi-faceted trust modeling to determine trust links in social media and its potential for misinformation managementInternational Journal of Data Science and Analytics10.1007/s41060-021-00294-w13:4(399-425)Online publication date: 22-Jan-2022
https://doi.org/10.1007/s41060-021-00294-w
Show More Cited By

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StereoTrust: a group based personalized trust model

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Published In

cover image ACM Conferences

CIKM '09: Proceedings of the 18th ACM conference on Information and knowledge management

November 2009

2162 pages

ISBN:9781605585123

DOI:10.1145/1645953

General Chairs:
David Cheung
University of Hong Kong, Hong Kong
,
Il-Yeol Song
Drexel University, USA
,
Program Chairs:
Wesley Chu
UCLA, USA
,
Xiaohua Hu
Drexel University, USA
,
Jimmy Lin
University of Maryland, USA

Copyright © 2009 ACM.

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Published: 02 November 2009

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November 2 - 6, 2009

Hong Kong, China

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Cited By

Falcone RSapienza A(2023)The Role of Trust in Dependence Networks: A Case StudyInformation10.3390/info1412065214:12(652)Online publication date: 7-Dec-2023
https://doi.org/10.3390/info14120652
Sapienza AFalcone R(2023)Exploiting autonomy in a User-IoT system collaborative trust modelInternational Journal of Parallel, Emergent and Distributed Systems10.1080/17445760.2023.2234166(1-13)Online publication date: 24-Jul-2023
https://doi.org/10.1080/17445760.2023.2234166
Parmentier ACohen RMa XSahu GChen Q(2022)Personalized multi-faceted trust modeling to determine trust links in social media and its potential for misinformation managementInternational Journal of Data Science and Analytics10.1007/s41060-021-00294-w13:4(399-425)Online publication date: 22-Jan-2022
https://doi.org/10.1007/s41060-021-00294-w
Karmakar GDas RKamruzzaman J(2020)IoT Sensor Numerical Data Trust Model Using Temporal CorrelationIEEE Internet of Things Journal10.1109/JIOT.2019.29572017:4(2573-2581)Online publication date: Apr-2020
https://doi.org/10.1109/JIOT.2019.2957201
Falcone RSapienza A(2020)Recommendations In The Virtual Societies: Some Considerations2020 IEEE International Conference on Human-Machine Systems (ICHMS)10.1109/ICHMS49158.2020.9209507(1-4)Online publication date: Sep-2020
https://doi.org/10.1109/ICHMS49158.2020.9209507
Sapienza AFalcone R(2020)Evaluating agents’ trustworthiness within virtual societies in case of no direct experienceCognitive Systems Research10.1016/j.cogsys.2020.08.00564(164-173)Online publication date: Dec-2020
https://doi.org/10.1016/j.cogsys.2020.08.005
Güneş TTran-Thanh LNorman T(2019)Identifying vulnerabilities in trust and reputation systemsProceedings of the 28th International Joint Conference on Artificial Intelligence10.5555/3367032.3367077(308-314)Online publication date: 10-Aug-2019
https://dl.acm.org/doi/10.5555/3367032.3367077
Falcone RSapienza A(2019)Selecting Trustworthy Partners by the Means of Untrustworthy Recommenders in Digitally Empowered SocietiesAdvances in Practical Applications of Survivable Agents and Multi-Agent Systems: The PAAMS Collection10.1007/978-3-030-24209-1_5(55-65)Online publication date: 26-Jun-2019
https://doi.org/10.1007/978-3-030-24209-1_5
Player CGriffiths NAndre EKoenig SDastani MSukthankar G(2018)Addressing Concept Drift in Reputation AssessmentProceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems10.5555/3237383.3238067(2048-2050)Online publication date: 9-Jul-2018
https://dl.acm.org/doi/10.5555/3237383.3238067
Cordero CTraverso GNojoumian MHabib SMuhlhauser MBuchmann JVasilomanolakis E(2018) Sphinx : a Colluder-Resistant Trust Mechanism for Collaborative Intrusion Detection IEEE Access10.1109/ACCESS.2018.28802976(72427-72438)Online publication date: 2018
https://doi.org/10.1109/ACCESS.2018.2880297
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