Trust metrics based on a trusted network element

Jouni Hiltunen, Jarkko Kuusijärvi

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

    5 Citations (Scopus)


    In this paper we study and propose a trust model and trust metric composition models based on a trusted network element. Our proposed model, executed in a trusted network element, helps the user to make subjective decisions based on secure and trusted metric information presented in a userfriendly form. The composition models present two possible solutions of how to integrate trust constructs into quantitative measurements in order to provide readily available evidence to the trustor about trustee's trustworthiness. The results show how to achieve 5% measurement error probability when detecting malicious actions and what kinds of 95% intervals of confidence the 5% measurement error probability will enable in different trust metric composition models. The presented trust metric is specifically designed for client-server and peer-to-peer communication scenarios over the Internet, such as web browsing and/or content streaming.
    Original languageEnglish
    Title of host publicationTrustcom-BigDataSE-ISPA proceedings, Volume 1
    PublisherIEEE Institute of Electrical and Electronic Engineers
    ISBN (Electronic)978-1-4673-7952-6, 978-1-4673-7951-9
    Publication statusPublished - 3 Dec 2015
    MoE publication typeA4 Article in a conference publication
    EventIEEE International Conference on Trust, Security and Privacy in Computing and Communications - Helsinki, Finland
    Duration: 20 Aug 201522 Aug 2015


    ConferenceIEEE International Conference on Trust, Security and Privacy in Computing and Communications
    Abbreviated titleIEEETrustCom-15


    • trust model
    • trust metric
    • trusted network element
    • security metric
    • security measurement


    Dive into the research topics of 'Trust metrics based on a trusted network element'. Together they form a unique fingerprint.

    Cite this