Adaptive risk management with ontology linked evidential statistics and SDN

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientific

    1 Citation (Scopus)

    Abstract

    New technologies have increased the dynamism of distributed systems; advances such as Software Defined Networking (SDN) and cloud computing enable unprecedented service flexibility and scalability. By their nature, they are in a constant state of flux, presenting tough challenges for system security. Here an adaptive - in real time - risk management system capable of keeping abreast of these developments is considered. This paper presents an on-going work on combining a hierarchical threat ontology, real-time risk analysis, and SDN to an efficient whole. The main contribution of this paper is on finding the suitable architectures, components, necessary requirements, and favorable modifications on the systems and system modelling (including the models involving the security analysis) to reach this goal.

    Original languageEnglish
    Title of host publicationProceedings of the ECSA 2014 Workshops and Tool Demos Track - European Conference on Software Architecture, ECSAW 2014
    PublisherAssociation for Computing Machinery ACM
    ISBN (Print)978-1-4503-2778-7
    DOIs
    Publication statusPublished - 1 Jan 2014
    MoE publication typeB3 Non-refereed article in conference proceedings
    Event8th European Conference on Software Architecture Workshops, ECSAW 2014 - Vienna, Austria
    Duration: 25 Aug 201429 Aug 2014

    Conference

    Conference8th European Conference on Software Architecture Workshops, ECSAW 2014
    Abbreviated titleECSAW 2014
    CountryAustria
    CityVienna
    Period25/08/1429/08/14

    Fingerprint

    Risk management
    Ontology
    Statistics
    Risk analysis
    Cloud computing
    Security systems
    Scalability
    Computer systems
    Fluxes
    Software defined networking

    Keywords

    • Adaptive security
    • Dempster-Schafer
    • Dezert-Smarandache
    • Neural Network inspired Fuzzy C-means
    • SDN
    • Threat ontology

    Cite this

    Juhola, A., Ahola, T., & Ahola, K. (2014). Adaptive risk management with ontology linked evidential statistics and SDN. In Proceedings of the ECSA 2014 Workshops and Tool Demos Track - European Conference on Software Architecture, ECSAW 2014 Association for Computing Machinery ACM. https://doi.org/10.1145/2642803.2642805
    Juhola, Arto ; Ahola, Titta ; Ahola, Kimmo. / Adaptive risk management with ontology linked evidential statistics and SDN. Proceedings of the ECSA 2014 Workshops and Tool Demos Track - European Conference on Software Architecture, ECSAW 2014. Association for Computing Machinery ACM, 2014.
    @inproceedings{0817581db48946d6a4a93525d7c402a7,
    title = "Adaptive risk management with ontology linked evidential statistics and SDN",
    abstract = "New technologies have increased the dynamism of distributed systems; advances such as Software Defined Networking (SDN) and cloud computing enable unprecedented service flexibility and scalability. By their nature, they are in a constant state of flux, presenting tough challenges for system security. Here an adaptive - in real time - risk management system capable of keeping abreast of these developments is considered. This paper presents an on-going work on combining a hierarchical threat ontology, real-time risk analysis, and SDN to an efficient whole. The main contribution of this paper is on finding the suitable architectures, components, necessary requirements, and favorable modifications on the systems and system modelling (including the models involving the security analysis) to reach this goal.",
    keywords = "Adaptive security, Dempster-Schafer, Dezert-Smarandache, Neural Network inspired Fuzzy C-means, SDN, Threat ontology",
    author = "Arto Juhola and Titta Ahola and Kimmo Ahola",
    year = "2014",
    month = "1",
    day = "1",
    doi = "10.1145/2642803.2642805",
    language = "English",
    isbn = "978-1-4503-2778-7",
    booktitle = "Proceedings of the ECSA 2014 Workshops and Tool Demos Track - European Conference on Software Architecture, ECSAW 2014",
    publisher = "Association for Computing Machinery ACM",
    address = "United States",

    }

    Juhola, A, Ahola, T & Ahola, K 2014, Adaptive risk management with ontology linked evidential statistics and SDN. in Proceedings of the ECSA 2014 Workshops and Tool Demos Track - European Conference on Software Architecture, ECSAW 2014. Association for Computing Machinery ACM, 8th European Conference on Software Architecture Workshops, ECSAW 2014, Vienna, Austria, 25/08/14. https://doi.org/10.1145/2642803.2642805

    Adaptive risk management with ontology linked evidential statistics and SDN. / Juhola, Arto; Ahola, Titta; Ahola, Kimmo.

    Proceedings of the ECSA 2014 Workshops and Tool Demos Track - European Conference on Software Architecture, ECSAW 2014. Association for Computing Machinery ACM, 2014.

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientific

    TY - GEN

    T1 - Adaptive risk management with ontology linked evidential statistics and SDN

    AU - Juhola, Arto

    AU - Ahola, Titta

    AU - Ahola, Kimmo

    PY - 2014/1/1

    Y1 - 2014/1/1

    N2 - New technologies have increased the dynamism of distributed systems; advances such as Software Defined Networking (SDN) and cloud computing enable unprecedented service flexibility and scalability. By their nature, they are in a constant state of flux, presenting tough challenges for system security. Here an adaptive - in real time - risk management system capable of keeping abreast of these developments is considered. This paper presents an on-going work on combining a hierarchical threat ontology, real-time risk analysis, and SDN to an efficient whole. The main contribution of this paper is on finding the suitable architectures, components, necessary requirements, and favorable modifications on the systems and system modelling (including the models involving the security analysis) to reach this goal.

    AB - New technologies have increased the dynamism of distributed systems; advances such as Software Defined Networking (SDN) and cloud computing enable unprecedented service flexibility and scalability. By their nature, they are in a constant state of flux, presenting tough challenges for system security. Here an adaptive - in real time - risk management system capable of keeping abreast of these developments is considered. This paper presents an on-going work on combining a hierarchical threat ontology, real-time risk analysis, and SDN to an efficient whole. The main contribution of this paper is on finding the suitable architectures, components, necessary requirements, and favorable modifications on the systems and system modelling (including the models involving the security analysis) to reach this goal.

    KW - Adaptive security

    KW - Dempster-Schafer

    KW - Dezert-Smarandache

    KW - Neural Network inspired Fuzzy C-means

    KW - SDN

    KW - Threat ontology

    UR - http://www.scopus.com/inward/record.url?scp=84907418647&partnerID=8YFLogxK

    U2 - 10.1145/2642803.2642805

    DO - 10.1145/2642803.2642805

    M3 - Conference article in proceedings

    AN - SCOPUS:84907418647

    SN - 978-1-4503-2778-7

    BT - Proceedings of the ECSA 2014 Workshops and Tool Demos Track - European Conference on Software Architecture, ECSAW 2014

    PB - Association for Computing Machinery ACM

    ER -

    Juhola A, Ahola T, Ahola K. Adaptive risk management with ontology linked evidential statistics and SDN. In Proceedings of the ECSA 2014 Workshops and Tool Demos Track - European Conference on Software Architecture, ECSAW 2014. Association for Computing Machinery ACM. 2014 https://doi.org/10.1145/2642803.2642805