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From Collaboration to Automation: A Proof of Concept tor Improved Incident Response

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F63839172%3A_____%2F22%3A10133546" target="_blank" >RIV/63839172:_____/22:10133546 - isvavai.cz</a>

  • Result on the web

    <a href="https://ercim-news.ercim.eu/en129/special/from-collaboration-to-automation-a-proof-of-concept-for-improved-incident-response" target="_blank" >https://ercim-news.ercim.eu/en129/special/from-collaboration-to-automation-a-proof-of-concept-for-improved-incident-response</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    From Collaboration to Automation: A Proof of Concept tor Improved Incident Response

  • Original language description

    Effective incident response relies on taking accurate and timely measures in reaction to cybersecurity incidents. The increase in both the number and variety of cyberattacks, however, makes it challenging for incident handlers to keep up with this task. In the H2020 project SAPPAN, we take a practical look at this problem and explore the sharing of incident handling information, the automation of incident response processes, as well as the relationship between these two topics, to assist human operators in their work.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

  • Continuities

    R - Projekt Ramcoveho programu EK

Others

  • Publication year

    2022

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    ERCIM NEWS

  • ISSN

    0926-4981

  • e-ISSN

    1564-0094

  • Volume of the periodical

    2022

  • Issue of the periodical within the volume

    129

  • Country of publishing house

    FR - FRANCE

  • Number of pages

    2

  • Pages from-to

    31-32

  • UT code for WoS article

    000786831600017

  • EID of the result in the Scopus database