| HAL-Inria | Publications, software ... of Inria's scientists |
Conference papers
Integrating Indicators of Trustworthiness into Reputation-Based Trust Models
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.
Cited literature [25 references]
https://hal.inria.fr/hal-01517646
Contributor : Hal Ifip <>
Submitted on : Wednesday, May 3, 2017 - 2:49:04 PM
Last modification on : Wednesday, May 3, 2017 - 2:52:08 PM
Long-term archiving on: : Friday, August 4, 2017 - 1:45:38 PM
Contributor : Hal Ifip <>
Submitted on : Wednesday, May 3, 2017 - 2:49:04 PM
Last modification on : Wednesday, May 3, 2017 - 2:52:08 PM
Long-term archiving on: : Friday, August 4, 2017 - 1:45:38 PM
File
978-3-642-29852-3_11_Chapter.p...
Files produced by the author(s)
Licence
Distributed under a Creative Commons Attribution 4.0 International License