Identification of Unintentional Perpetrator Attack Vectors using Simulation Game: A Case Study
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F21%3A00121985" target="_blank" >RIV/00216224:14330/21:00121985 - isvavai.cz</a>
Result on the web
<a href="https://ieeexplore.ieee.org/abstract/document/9555700" target="_blank" >https://ieeexplore.ieee.org/abstract/document/9555700</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.15439/2021F85" target="_blank" >10.15439/2021F85</a>
Alternative languages
Result language
angličtina
Original language name
Identification of Unintentional Perpetrator Attack Vectors using Simulation Game: A Case Study
Original language description
In our digital era, insider attacks are among the serious underresearched areas of the cybersecurity landscape. A significant type of insider attack is facilitated by employees without malicious intent. They are called unintentional perpetrators. We proposed mitigating these threats using a simulation-game platform to detect the potential attack vectors. This paper introduces and implements a scenario that demonstrates the usability of this approach in a case study. This work also helps to understand players' behavior when they are not told upfront that they will be a target of social engineering attacks. Furthermore, we provide relevant acquired observations for future research.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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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
2021
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 16th Conference on Computer Science and Intelligence Systems
ISBN
9788395918384
ISSN
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e-ISSN
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Number of pages
8
Pages from-to
349-356
Publisher name
IEEE
Place of publication
New York
Event location
Sofia, Bulgaria
Event date
Jan 1, 2021
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000904349400045