ConGISATA: A Framework for Continuous Gamified Information Security Awareness Training and Assessment

Computer Science > Cryptography and Security [Submitted on 16 Apr 2026] ConGISATA: A Framework for Continuous Gamified Information Security Awareness Training and Assessment Ofir Cohen, Ron Bitton, Asaf Shabtai, Rami Puzis The incidence of cybersecurity attacks utilizing social engineering techniques has increased. Such attacks exploit the fact that in every secure system, there is at least one individual with the means to access sensitive information. Since it is easier to deceive a person than it is to bypass the defense mechanisms in place, these types of attacks have gained popularity. This situation is exacerbated by the fact that people are more likely to take risks in their passive form, i.e., risks that arise due to the failure to perform an action. Passive risk has been identified as a significant threat to cybersecurity. To address these threats, there is a need to strengthen individuals' information security awareness (ISA). Therefore, we developed ConGISATA - a continuous gamified ISA training and assessment framework based on embedded mobile sensors; a taxonomy for evaluating mobile users' security awareness served as the basis for the sensors' design. ConGISATA's continuous and gradual training process enables users to learn from their real-life mistakes and adapt their behavior accordingly. ConGISATA aims to transform passive risk situations (as perceived by an individual) into active risk situations, as people tend to underestimate the potential impact of passive risks. Our evaluation of the proposed framework demonstrates its ability to improve individuals' ISA, as assessed by the sensors and in simulations of common attack vectors. Comments: Accepted to the 28th European Symposium on Research in Computer Security (ESORICS 2023), published in Springer LNCS proceedings. Distinguished Paper Award. 21 pages, 6 figures Subjects: Cryptography and Security (cs.CR) Cite as: arXiv:2604.14996 [cs.CR]   (or arXiv:2604.14996v1 [cs.CR] for this version)   https://doi.org/10.48550/arXiv.2604.14996 Focus to learn more Related DOI: https://doi.org/10.1007/978-3-031-51479-1_22 Focus to learn more Submission history From: Ofir Cohen [view email] [v1] Thu, 16 Apr 2026 13:22:21 UTC (1,216 KB) Access Paper: HTML (experimental) view license Current browse context: cs.CR < prev   |   next > new | recent | 2026-04 Change to browse by: cs References & Citations NASA ADS Google Scholar Semantic Scholar Export BibTeX Citation Bookmark Bibliographic Tools Bibliographic and Citation Tools Bibliographic Explorer Toggle Bibliographic Explorer (What is the Explorer?) Connected Papers Toggle Connected Papers (What is Connected Papers?) Litmaps Toggle Litmaps (What is Litmaps?) scite.ai Toggle scite Smart Citations (What are Smart Citations?) Code, Data, Media Demos Related Papers About arXivLabs Which authors of this paper are endorsers? | Disable MathJax (What is MathJax?)