| Title |
Advancing human performance in cybersecurity, ADVANCES / |
| Authors |
Majore, Ginta ; Bukauskas, Linas ; Sütterlin, Stefan ; Brilingaitė, Agnė |
| Full Text |
|
| Is Part of |
Proceedings of the research projects exhibition papers presented at the 35th international conference on advanced information systems engineering (CAiSE 2023), Zaragoza, Spain, June 12-16, 2023 / edited by Jaime Font, Lorena Arcega, José-Fabián Reyes-Román, Giovanni Giachetti.. Aachen : CEUR-WS. 2023, p. 76-82 |
| Keywords [eng] |
domain-specific engineering ; multidisciplinary approach ; cybersecurity training ; human performance |
| Abstract [eng] |
Cybersecurity as a domain is essential for all complex digitalized environments within the public and private sectors. It incorporates technical requirements, workforce skills, and human aspects for system development, deployment, and support for business continuity. The technological advancement of cyber attacks and social engineering solutions of the adversary raise the demand for a competent cybersecurity workforce. The upskilling process has to go hand in hand with abilities to work in complex environments and even under crises. Project Advancing Human Performance in Cybersecurity (ADVANCES) contributes to research regarding the role of human factors and limitations in cybersecurity. Domain-specific engineering enables the development of a comprehensive framework as an ecosystem for future workforce development. The three Baltic countries, Lithuania, Latvia, and Estonia, and their partners from Norway and Liechtenstein investigate human behavior in cybersecurity by combining research areas of computer science, psychology, and human genomics. The project aims to develop a comprehensive, science-based interdisciplinary framework to develop and assess generic and subject-related competences of the current and future cybersecurity workforce. The team is developing an environment that supports testing behavioral patterns, attitudes toward cyber hygiene, and specific technical skills. Educational components integrating behavior change are tested in the student environment, while multidisciplinary research requires inviting participants using public announcements. Statistical and data mining tools are used to interpret multilayered data and to find correlations among genetic, behavioral, and technical skills. |
| Published |
Aachen : CEUR-WS |
| Type |
Conference paper |
| Language |
English |
| Publication date |
2023 |
| CC license |
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