Identification of Unintentional Perpetrator Attack Vectors using Simulation Game: A Case Study

• Autorzy: Macák Martin , Bojnak Stefan , Buhnova Barbora

Identyfikatory

DOI

10.15439/2021F85

• Konferencja: Federated Conference on Computer Science and Information Systems (16 ; 02-05.09.2021 ; online)
• Języki publikacji: EN

Abstrakty

EN

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.

Słowa kluczowe

EN

computer games; security of data; analytical models

PL

gra komputerowa; bezpieczeństwo danych; modele analityczne

• Wydawca: Polskie Towarzystwo Informatyczne
• Czasopismo: Annals of Computer Science and Information Systems
• Rocznik: 2021
• Tom: Vol. 25
• Strony: 349--356
• Opis fizyczny: Bibliogr. 37 poz., il., wykr.

Twórcy

autor

Macák Martin

• Faculty of Informatics, Masaryk University Brno, Czech Republic

autor

Bojnak Stefan

• Faculty of Informatics, Masaryk University Brno, Czech Republic

autor

Buhnova Barbora

• Faculty of Informatics, Masaryk University Brno, Czech Republic

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Uwagi

1. This research was supported by ERDF "CyberSecurity, CyberCrime and Critical Information Infrastructures Center of Excellence" (No. CZ.02.1.01/0.0/0.0/16_019/0000822).

2. Track 3: Network Systems and Applications

3. Session: 2nd International Forum on Cyber Security, Privacy and Trust