Hauke, Sascha ; Volk, Florian ; Habib, Sheikh Mahbub ; Mühlhäuser, Max
Hrsg.: 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 (21.05.2012-25.05.2012)
doi: 10.1007/978-3-642-29852-3_11
Konferenzveröffentlichung, Bibliographie
Kurzbeschreibung (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.
| Typ des Eintrags: | Konferenzveröffentlichung |
|---|---|
| Erschienen: | 2012 |
| Herausgeber: | Dimitrakos, Theo ; Moona, Rajat ; Patel, Dhiren ; McKnight, D. Harrison |
| Autor(en): | Hauke, Sascha ; Volk, Florian ; Habib, Sheikh Mahbub ; Mühlhäuser, Max |
| Art des Eintrags: | Bibliographie |
| Titel: | Integrating Indicators of Trustworthiness into Reputation-Based Trust Models |
| Sprache: | Englisch |
| Publikationsjahr: | Mai 2012 |
| Verlag: | Springer |
| Veranstaltungstitel: | Proceedings of the 6th International Conference on Trust Management (IFIPTM 2012) |
| Veranstaltungsort: | Surat, India |
| Veranstaltungsdatum: | 21.05.2012-25.05.2012 |
| DOI: | 10.1007/978-3-642-29852-3_11 |
| Kurzbeschreibung (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. |
| Fachbereich(e)/-gebiet(e): | 20 Fachbereich Informatik 20 Fachbereich Informatik > Telekooperation Profilbereiche Profilbereiche > Cybersicherheit (CYSEC) |
| Hinterlegungsdatum: | 26 Jun 2018 11:34 |
| Letzte Änderung: | 30 Sep 2020 13:52 |
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