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On Collaboration and Automation in the Context of Threat Detection and Response with Privacy-Preserving Features

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F63839172%3A_____%2F25%3A10133794" target="_blank" >RIV/63839172:_____/25:10133794 - isvavai.cz</a>

  • Alternative codes found

    RIV/00216224:14610/25:00140657

  • Result on the web

    <a href="https://doi.org/10.1145/3707651" target="_blank" >https://doi.org/10.1145/3707651</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1145/3707651" target="_blank" >10.1145/3707651</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    On Collaboration and Automation in the Context of Threat Detection and Response with Privacy-Preserving Features

  • Original language description

    Organizations and their security operation centers often struggle to detect and respond effectively to an extensive quantity of ever-evolving cyberattacks. While collaboration, such as threat intelligence sharing between security teams, and response automation are often discussed in the cybersecurity community, issues like data sensitivity and confidence in detection may hinder their adoption. This work investigates the potentials and challenges of collaboration and automation to enhance incident response processes. We propose a reference architecture for data sharing in threat detection and response, aiming to boost collaborative and automated efforts across organizations while also considering privacy-preserving features. To address these challenges and potentials, we discuss how such a framework could enhance current response processes within and between organizations, validated with results in local attack detection, incident response, and data sharing.

  • 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

    <a href="/en/project/LM2023054" target="_blank" >LM2023054: e-Infrastructure CZ</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2025

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    DIGITAL THREATS: RESEARCH AND PRACTICE

  • ISSN

    2692-1626

  • e-ISSN

    2576-5337

  • Volume of the periodical

    6

  • Issue of the periodical within the volume

    1

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    36

  • Pages from-to

    5

  • UT code for WoS article

    001470073800003

  • EID of the result in the Scopus database

    2-s2.0-105002995143