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Integrating Indicators of Trustworthiness into Reputation-Based Trust Models

Hauke, Sascha ; Volk, Florian ; Habib, Sheikh Mahbub ; Mühlhäuser, Max
eds.: Dimitrakos, Theo ; Moona, Rajat ; Patel, Dhiren ; McKnight, D. Harrison (2012)
Integrating Indicators of Trustworthiness into Reputation-Based Trust Models.
Proceedings of the 6th International Conference on Trust Management (IFIPTM 2012). Surat, India (21.-25.05.)
doi: 10.1007/978-3-642-29852-3_11
Conference or Workshop Item, Bibliographie

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: Conference or Workshop Item
Erschienen: 2012
Editors: Dimitrakos, Theo ; Moona, Rajat ; Patel, Dhiren ; McKnight, D. Harrison
Creators: Hauke, Sascha ; Volk, Florian ; Habib, Sheikh Mahbub ; Mühlhäuser, Max
Type of entry: Bibliographie
Title: Integrating Indicators of Trustworthiness into Reputation-Based Trust Models
Language: English
Date: May 2012
Publisher: Springer
Event Title: Proceedings of the 6th International Conference on Trust Management (IFIPTM 2012)
Event Location: Surat, India
Event Dates: 21.-25.05.
DOI: 10.1007/978-3-642-29852-3_11
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.

Divisions: 20 Department of Computer Science
20 Department of Computer Science > Telecooperation
Profile Areas
Profile Areas > Cybersecurity (CYSEC)
Date Deposited: 26 Jun 2018 11:34
Last Modified: 30 Sep 2020 13:52
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