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.

View More Papers

Progressive Scrutiny: Incremental Detection of UBI bugs in the...

Yizhuo Zhai (University of California, Riverside), Yu Hao (University of California, Riverside), Zheng Zhang (University of California, Riverside), Weiteng Chen (University of California, Riverside), Guoren Li (University of California, Riverside), Zhiyun Qian (University of California, Riverside), Chengyu Song (University of California, Riverside), Manu Sridharan (University of California, Riverside), Srikanth V. Krishnamurthy (University of California, Riverside),…

Read More

Clarion: Anonymous Communication from Multiparty Shuffling Protocols

Saba Eskandarian (University of North Carolina at Chapel Hill), Dan Boneh (Stanford University)

Read More

DRIVETRUTH: Automated Autonomous Driving Dataset Generation for Security Applications

Raymond Muller (Purdue University), Yanmao Man (University of Arizona), Z. Berkay Celik (Purdue University), Ming Li (University of Arizona) and Ryan Gerdes (Virginia Tech)

Read More

SynthCT: Towards Portable Constant-Time Code

Sushant Dinesh (University of Illinois at Urbana Champaign), Grant Garrett-Grossman (University of Illinois at Urbana Champaign), Christopher W. Fletcher (University of Illinois at Urbana Champaign)

Read More