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Integrating Indicators of Trustworthiness into Reputation-Based Trust Models

Hauke, Sascha and Volk, Florian and Habib, Sheikh Mahbub and Mühlhäuser, Max
Dimitrakos, Theo and Moona, Rajat and Patel, Dhiren and McKnight, D. Harrison (eds.) (2012):
Integrating Indicators of Trustworthiness into Reputation-Based Trust Models.
In: Proceedings of the 6th International Conference on Trust Management (IFIPTM 2012), Berlin, Heidelberg, Springer, pp. 158-173, [Book Section]

Abstract

Reputation-based trust models are essentially reinforcement learning mechanisms reliant on feedback. As such, they face a cold start problem when attempting to assess an unknown service partner. State-of-the-art models address this by incorporating dispositional knowledge, the derivation of which is not described regularly. We propose three mechanisms for integrating knowledge readily available in cyber-physical services (e.g., online ordering) to determine the trust disposition of consumers towards unknown services (and their providers). These reputation-building indicators of trustworthiness can serve as cues for trust-based decision making in eCommerce scenarios and drive the evolution of reputation-based trust models towards trust management systems.

Item Type: Book Section
Erschienen: 2012
Editors: Dimitrakos, Theo and Moona, Rajat and Patel, Dhiren and McKnight, D. Harrison
Creators: Hauke, Sascha and Volk, Florian and Habib, Sheikh Mahbub and Mühlhäuser, Max
Title: Integrating Indicators of Trustworthiness into Reputation-Based Trust Models
Language: English
Abstract:

Reputation-based trust models are essentially reinforcement learning mechanisms reliant on feedback. As such, they face a cold start problem when attempting to assess an unknown service partner. State-of-the-art models address this by incorporating dispositional knowledge, the derivation of which is not described regularly. We propose three mechanisms for integrating knowledge readily available in cyber-physical services (e.g., online ordering) to determine the trust disposition of consumers towards unknown services (and their providers). These reputation-building indicators of trustworthiness can serve as cues for trust-based decision making in eCommerce scenarios and drive the evolution of reputation-based trust models towards trust management systems.

Title of Book: Proceedings of the 6th International Conference on Trust Management (IFIPTM 2012)
Series Name: AICT
Volume: 374
Place of Publication: Berlin, Heidelberg
Publisher: Springer
ISBN: 978-3-642-29852-3
Divisions: 20 Department of Computer Science
20 Department of Computer Science > Telecooperation
Profile Areas
Profile Areas > Cybersecurity (CYSEC)
Event Title: Trust Management VI (IFIPTM 2012)
Date Deposited: 26 Jun 2018 11:34
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