Simulation Games Platform for Unintentional Perpetrator Attack Vector Identification
Identifikátory výsledku
Kód výsledku v 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>
Výsledek na webu
<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>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Simulation Games Platform for Unintentional Perpetrator Attack Vector Identification
Popis výsledku v původním jazyce
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.
Název v anglickém jazyce
Simulation Games Platform for Unintentional Perpetrator Attack Vector Identification
Popis výsledku anglicky
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.
Klasifikace
Druh
D - Stať ve sborníku
CEP obor
—
OECD FORD obor
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Návaznosti výsledku
Projekt
<a href="/cs/project/EF16_019%2F0000822" target="_blank" >EF16_019/0000822: Centrum excelence pro kyberkriminalitu, kyberbezpečnost a ochranu kritických informačních infrastruktur</a><br>
Návaznosti
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach
Ostatní
Rok uplatnění
2020
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název statě ve sborníku
ICSEW'20: Proceedings of the IEEE/ACM 42nd International Conference on Software Engineering Workshops
ISBN
9781450379632
ISSN
—
e-ISSN
—
Počet stran výsledku
8
Strana od-do
222-229
Název nakladatele
Association for Computing Machinery
Místo vydání
New York, NY, USA
Místo konání akce
Seoul, Republic of Korea
Datum konání akce
1. 1. 2020
Typ akce podle státní příslušnosti
WRD - Celosvětová akce
Kód UT WoS článku
—