Towards metrics-driven adaptive security management in E-health IoT applications

Reijo Savola, H. Abie, M. Sihvonen

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

    Abstract

    E-health applications utilizing IoT (Internet of Things) technologies hold a significant promise: biomedical sensor networks and the appropriate interpretation of the data originating from them enable better self-care of chronic diseases, and thus are potential to imply remarkable savings in national healthcare budgets. However, security is a major concern in these applications due to varying use context, changing threats and the high privacy and confidentiality requirements of healthcare data.
    Novel adaptive security management solutions, based on security effectiveness, correctness and efficiency evidence, can be used to respond to these needs.
    We analyze security objectives of E-health IoT applications and their adaptive security decision-making needs, and propose a high-level adaptive security management mechanism based on security metrics to cope with the challenges.
    Original languageEnglish
    Title of host publicationProceedings of the 7th International Conference on Body Area Networks. BodyNets 2012
    Pages276-281
    Publication statusPublished - 2012
    MoE publication typeA4 Article in a conference publication
    Event7th International Conference on Body Area Networks, BodyNets 2012 - Oslo, Norway
    Duration: 24 Sep 201226 Sep 2012

    Conference

    Conference7th International Conference on Body Area Networks, BodyNets 2012
    Abbreviated titleBodyNets 2012
    CountryNorway
    CityOslo
    Period24/09/1226/09/12

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