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Trust and Privacy Enabled Service Composition Using Social Experience
Abstract : In this paper, we present a framework for automatic
selection and composition of services which exploits trustworthiness of
services as a metric for measuring the quality of service composition.
Trustworthiness is defined in terms of service reputation extracted from
user profiles. The profiles are, in particular, extracted and inferred
from a social network which accumulates users past experience with
corresponding services. Using our privacy inference model we, first,
prune social network to hide privacy sensitive contents and, then,
utilize a trust inference based algorithm to measure reputation score of
each individual service, and subsequently trustworthiness of their
composition.
Cited literature [20 references]
https://hal.inria.fr/hal-01055012
Contributor : Hal Ifip <>
Submitted on : Monday, August 11, 2014 - 11:01:17 AM
Last modification on : Tuesday, February 23, 2021 - 7:24:05 PM
Long-term archiving on: : Wednesday, November 26, 2014 - 9:46:30 PM
Contributor : Hal Ifip <>
Submitted on : Monday, August 11, 2014 - 11:01:17 AM
Last modification on : Tuesday, February 23, 2021 - 7:24:05 PM
Long-term archiving on: : Wednesday, November 26, 2014 - 9:46:30 PM
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i3e2010_submission_25.pdf
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