A Framework for Using Trust to Assess Risk in Information Sharing

Chatschik Bisdikian, Yuqing Tang, Federico Cerutti, Nir Oren

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

In this paper we describe a decision process framework allowing an agent to decide what information it should reveal to its neighbours within a communication graph in order to maximise its utility. We assume that these neighbours can pass information onto others within the graph, and that the communicating agent gains and loses utility based on the information which can be inferred by specific agents following the original communicative act. To this end, we construct an initial model of information propagation and describe an optimal decision procedure for the agent.

Original languageEnglish
Title of host publicationAgreement Technologies
Subtitle of host publicationSecond International Conference, AT 2013, Proceedings
EditorsCarlos Iván Chesñevar, Eva Onaindia, Sascha Ossowski, George Vouros
PublisherSpringer-Verlag
Pages135-149
Number of pages15
Volume8068 LNAI
ISBN (Electronic)9783642398605
ISBN (Print)9783642398599
DOIs
Publication statusPublished - 2013
Event2nd International Conference on Agreement Technologies, AT 2013 - Beijing, China
Duration: 1 Aug 20132 Aug 2013

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8068 LNAI
ISSN (Print)03029743
ISSN (Electronic)16113349

Conference

Conference2nd International Conference on Agreement Technologies, AT 2013
CountryChina
CityBeijing
Period1/08/132/08/13

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ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Bisdikian, C., Tang, Y., Cerutti, F., & Oren, N. (2013). A Framework for Using Trust to Assess Risk in Information Sharing. In C. I. Chesñevar, E. Onaindia, S. Ossowski, & G. Vouros (Eds.), Agreement Technologies: Second International Conference, AT 2013, Proceedings (Vol. 8068 LNAI, pp. 135-149). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8068 LNAI). Springer-Verlag. https://doi.org/10.1007/978-3-642-39860-5_11