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DTSTART;TZID=America/Chicago:20181111T143000
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UID:submissions.supercomputing.org_SC18_sess159_ws_indis108@linklings.com
SUMMARY:Social Computational Trust Model (SCTM): A Framework to Facilitate
  Selection of Partners
DESCRIPTION:Ameneh Deljoo and Tom van Engers (University of Amsterdam), Le
 on Gommans (Air France-KLM), and Cees de Laat (University of Amsterdam)\n\
 nCreating a cyber security alliance among network domain owners, as a mean
 s to minimize security incidents, has gained the interest of practitioners
  and academics in the last few years. A cyber security alliance, like any 
 membership organization, requires the creation and maintenance of trust am
 ong its members, in this case the network domain owners.  To promote the d
 isclosure and sharing of cyber security information among the network doma
 in owners, a trust framework is needed.\n\nThis paper discusses a social c
 omputational trust model (SCTM), that helps alliance members to select the
  right partner to collaborate with and perform collective tasks, and encou
 rages the sharing of incident data and intelligence. The social computatio
 nal trust model combines benevolence and competence to estimate the risk o
 f interaction. Benevolence is computed from personal experiences gained th
 rough direct interactions and competence is assessed on the base of the re
 ceived feedback from the other members. An agent based model case study is
  presented to demonstrate our approach.  The practicability of the propose
 d risk estimation is validated with a detailed experiment.\n\nTag: Archite
 ctures, Networks, Security\n\nRegistration Category: Workshop Reg Pass\n\n
 Session Chairs: Ilya Baldin (Thomas Jefferson National Accelerator Facilit
 y); Paola Grosso (University of Amsterdam, Netherlands); Mary Hester (Dutc
 h National Institute for Subatomic Physics); and Michelle Zhu (Montclair S
 tate University)\n\n
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