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Simulation Games Platform for Unintentional Perpetrator Attack Vector Identification

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F20%3A00115479" target="_blank" >RIV/00216224:14330/20:00115479 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1145/3387940.3391475" target="_blank" >http://dx.doi.org/10.1145/3387940.3391475</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1145/3387940.3391475" target="_blank" >10.1145/3387940.3391475</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Simulation Games Platform for Unintentional Perpetrator Attack Vector Identification

  • Original language description

    Cyber-security protection of critical systems is one of the major challenges of today. Although the attacks typically originate from attackers with malicious intent, a substantial portion of attack vectors is enabled by unintentional perpetrators, i.e., insiders who cause an incident by negligence, carelessness, or lack of training. Prevention of these situations is challenging because insiders have better access to the organization's resources and hence, are more likely to cause harm. Moreover, the insider-mediated actions of an attack vector often come unrecognized by security admins as well as the insiders themselves.In this paper, we focus on the identification of the attack vector of unintentional perpetrators. To this end, we propose to employ specialized games that simulate the working period, while the player faces multiple dangers that might cause harm in their company. From the analysis of their actions, we discover the attack vector, which could be addressed before an actual attack happens. To reflect a variety of insiders and company environments, we introduce a platform for designing variants of these games, together with its architecture, an example of a simple game that can be created using the platform, and the used analysis method.

  • 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

    2020

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    ICSEW'20: Proceedings of the IEEE/ACM 42nd International Conference on Software Engineering Workshops

  • ISBN

    9781450379632

  • ISSN

  • e-ISSN

  • Number of pages

    8

  • Pages from-to

    222-229

  • Publisher name

    Association for Computing Machinery

  • Place of publication

    New York, NY, USA

  • Event location

    Seoul, Republic of Korea

  • Event date

    Jan 1, 2020

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article