Metrics driven security management framework for ehealth digital ecosystem focusing on chronic diseases

Reijo Savola, M. Sihvonen

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

    5 Citations (Scopus)

    Abstract

    Security is a major concern in the emergence of new digital ecosystems. We propose an initial metrics-driven framework to manage security in IoT (Internet of Things) E-Health applications. The framework enables informed self-care of chronic diseases such as diabetes, COPD and arthritis. The approach consists of security domain classification, security metrics use scenarios, modeling and visualization approaches, and monitoring and adaptive decision-making considerations. The underlying digital ecosystem considers a person with a chronic disease as a source of health data for his or her own treatment and other persons with similar conditions. In this type of ecosystems, the role of security effective solutions is important. Especially privacy is emphasized. Therefore, security solutions should be analyzed well in advance, even before specifying the new ecosystem.
    Original languageEnglish
    Title of host publicationProceedings of the International Conference on Management of Emergent Digital EcoSystems, MEDES 2012
    Place of PublicationNew York, NY, USA
    PublisherAssociation for Computing Machinery ACM
    Pages75-79
    ISBN (Print)978-1-4503-1755-9
    DOIs
    Publication statusPublished - 2012
    MoE publication typeNot Eligible
    EventInternational Conference on Management of Emergent Digital EcoSystems, MEDES 2012 - Addis Ababa, Ethiopia
    Duration: 28 Oct 201231 Oct 2012

    Conference

    ConferenceInternational Conference on Management of Emergent Digital EcoSystems, MEDES 2012
    Abbreviated titleMEDES 2012
    CountryEthiopia
    CityAddis Ababa
    Period28/10/1231/10/12

    Keywords

    • adaptive security
    • digital ecosystems
    • security
    • security metrics

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