June De La Cruz (INSPIRIT Lab, University of Denver), Sanchari Das (INSPIRIT Lab, University of Denver)

Gamification is an interactive technology that enhances the user experience by designing modular objectives into game-design elements. In the same manner, gamification has the potential to enhance cybersecurity Awareness for neurodiverse individuals and people with disabilities by using Assistive Technology (AT) to achieve reward-system objectives. To understand further, we conducted a detailed systematization of knowledge (SoK) on 71 peer-reviewed publications concentrating research efforts to increase cybersecurity awareness through accessible gamification. The findings of this SoK establish fundamental components required to address the inclusive nature of gamification in cybersecurity and thereby identify requirements gathering objectives for impacting increased results in raising cybersecurity awareness. After a methodical process of iterative screening and manual analysis in this targeted subject matter, we found that only 9 out of the 71 gamified cybersecurity research initiatives directly address “accessibility” and the implementation methods for game-design elements that would facilitate accessible user-experience. Moreover, a cross-functional Learning Management System (LMS) and Modular Reward System can be optimized by data formulated through a Technology Acceptance Model (TAM) for people with disabilities using AT. Lastly, we propose that a modular training format should effectively engage and facilitate user interface and user experience despite context-oriented limitations on physical.

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HARPO: Learning to Subvert Online Behavioral Advertising

Jiang Zhang (University of Southern California), Konstantinos Psounis (University of Southern California), Muhammad Haroon (University of California, Davis), Zubair Shafiq (University of California, Davis)

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Phishing awareness and education – When to best remind?

Benjamin Maximilian Berens (SECUSO, Karlsruhe Institute of Technology), Katerina Dimitrova, Mattia Mossano (SECUSO, Karlsruhe Institute of Technology), Melanie Volkamer (SECUSO, Karlsruhe Institute of Technology)

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Interpretable Federated Transformer Log Learning for Cloud Threat Forensics

Gonzalo De La Torre Parra (University of the Incarnate Word, TX, USA), Luis Selvera (Secure AI and Autonomy Lab, The University of Texas at San Antonio, TX, USA), Joseph Khoury (The Cyber Center For Security and Analytics, University of Texas at San Antonio, TX, USA), Hector Irizarry (Raytheon, USA), Elias Bou-Harb (The Cyber Center For…

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