Cyber security incident handling, warning and response system for the european critical information infrastructures (cyberSANE)

Spyridon Papastergiou, Haralambos Mouratidis, Eleni Maria Kalogeraki

    Research output: Chapter in Book/Conference proceeding with ISSN or ISBNConference contribution with ISSN or ISBNpeer-review

    Abstract

    This paper aims to enhance the security and resilience of Critical Information Infrastructures (CIIs) by providing a dynamic collaborative, warning and response system (CyberSANE system) supporting and guiding security officers and operators (e.g. Incident Response professionals) to recognize, identify, dynamically analyse, forecast, treat and respond to their threats and risks and handle their daily cyber incidents. The proposed solution provides a first of a kind approach for handling cyber security incidents in the digital environments with highly interconnected, complex and diverse nature.

    Original languageEnglish
    Title of host publicationEngineering Applications of Neural Networks - 20th International Conference, EANN 2019, Proceedings
    EditorsIlias Maglogiannis, Chrisina Jayne, John Macintyre, Lazaros Iliadis
    Place of PublicationCham
    PublisherSpringer-Verlag
    Pages476-487
    Number of pages12
    Volume1000
    ISBN (Electronic)9783030202576
    ISBN (Print)9783030202569
    DOIs
    Publication statusPublished - 15 May 2019
    Event20th International Conference on Engineering Applications of Neural Networks, EANN 2019 - Hersonissos, Greece
    Duration: 24 May 201926 May 2019

    Publication series

    NameCommunications in Computer and Information Science
    ISSN (Print)1865-0929
    ISSN (Electronic)1865-0937

    Conference

    Conference20th International Conference on Engineering Applications of Neural Networks, EANN 2019
    Country/TerritoryGreece
    CityHersonissos
    Period24/05/1926/05/19

    Bibliographical note

    The final authenticated version is
    available online at https://doi.org/10.1007/978-3-030-20257-6_41

    Keywords

    • Data fusion and risk assessment
    • Incident handling
    • Web mining

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