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Scenarios for Process-Aware Insider Attack Detection in Manufacturing

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F22%3A00126445" target="_blank" >RIV/00216224:14330/22:00126445 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.1145/3538969.3544449" target="_blank" >https://doi.org/10.1145/3538969.3544449</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1145/3538969.3544449" target="_blank" >10.1145/3538969.3544449</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Scenarios for Process-Aware Insider Attack Detection in Manufacturing

  • Original language description

    Manufacturing production heavily depends on the processes that need to be followed during manufacturing. As there might be many reasons behind possible deviations from these processes, the deviations can also cover ongoing insider attacks, e.g., intended to perform sabotage or espionage on these infrastructures. Insider attacks can cause tremendous damage to a manufacturing company because an insider knows how to act inconspicuously, making insider attacks very hard to detect. In this paper, we examine the potential of process-mining methods for insider-attack detection in the context of manufacturing, which is a new and promising application context for process-aware methods. To this end, we present five manufacturing-related scenarios of insider threats identified in cooperation with a manufacturing company, where the process mining could be most helpful in the detection of their respective attack events. We describe these scenarios and demonstrate the utilization of process mining in this context, creating ground for further future research.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • 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/EF16_019%2F0000822" target="_blank" >EF16_019/0000822: CyberSecurity, CyberCrime and Critical Information Infrastructures Center of Excellence</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2022

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Proceedings of the 17th International Conference on Availability, Reliability and Security

  • ISBN

    9781450396707

  • ISSN

  • e-ISSN

  • Number of pages

    10

  • Pages from-to

    860-869

  • Publisher name

    Association for Computing Machinery

  • Place of publication

    New York, NY, USA

  • Event location

    Vienna, Austria

  • Event date

    Jan 1, 2022

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article