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Lessons Learned from Automated Sharing of Intrusion Detection Alerts: The Case of the SABU Platform

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F63839172%3A_____%2F23%3A10133583" target="_blank" >RIV/63839172:_____/23:10133583 - isvavai.cz</a>

  • Alternative codes found

    RIV/00216224:14610/23:00131331

  • Result on the web

    <a href="https://dl.acm.org/doi/10.1145/3611391" target="_blank" >https://dl.acm.org/doi/10.1145/3611391</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1145/3611391" target="_blank" >10.1145/3611391</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Lessons Learned from Automated Sharing of Intrusion Detection Alerts: The Case of the SABU Platform

  • Original language description

    Sharing the alerts from intrusion detection systems among multiple computer networks and organizations allows for seeing the &quot;big picture&quot; of the network security situation and improves the capabilities of cyber incident response. However, such a task requires a number of technical and non-technical issues to be resolved, from data collection and distribution to proper categorization, data quality management, and issues of trust and privacy. In this field note, we illustrate the concepts and provide lessons learned on the example of SABU, an alert sharing and analysis platform used by academia and partner organizations in the Czech Republic. We discuss the initial willingness to share the data that was later weakened by the uncertainties around personal data protection, the issues of high volume and low quality of the data that prevented their straightforward use, and that the management of the community is a more severe issue than the technical implementation of alert sharing.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS 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

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

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

Others

  • Publication year

    2023

  • 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

    2576-5337

  • e-ISSN

  • Volume of the periodical

    4

  • Issue of the periodical within the volume

    4

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    11

  • Pages from-to

    1-11

  • UT code for WoS article

  • EID of the result in the Scopus database

    2-s2.0-85171407569