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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GPSKey: GPS based Secret Key Establishment for Intra-Vehicle Environment

Edwin Yang (University of Oklahoma) and Song Fang (University of Oklahoma)

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Forensic Analysis of Configuration-based Attacks

Muhammad Adil Inam (University of Illinois at Urbana-Champaign), Wajih Ul Hassan (University of Illinois at Urbana-Champaign), Ali Ahad (University of Virginia), Adam Bates (University of Illinois at Urbana-Champaign), Rashid Tahir (University of Prince Mugrin), Tianyin Xu (University of Illinois at Urbana-Champaign), Fareed Zaffar (LUMS)

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The Taming of the Stack: Isolating Stack Data from...

Kaiming Huang (Penn State University), Yongzhe Huang (Penn State University), Mathias Payer (EPFL), Zhiyun Qian (UC Riverside), Jack Sampson (Penn State University), Gang Tan (Penn State University), Trent Jaeger (Penn State University)

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