Enhancing Smishing Detection in AR Environments: Cross-Device Solutions for Seamless Reality
Akira Kanaoka, Takamasa Isohara · 2024
Amidst the evolving landscape where cyber and physical realms seamlessly intertwine, smishing (SMS phishing) emerges as a so-phisticated security threat. This paper introduces a novel cross-device solution for detecting smishing attacks in augmented reality (AR) environments. Our method uses AR glasses to enhance user perception and interaction by analyzing images of URLs displayed across various devices, including smartphones, laptops, and digital displays. This approach aligns with the “Seamless Reality” concept, integrating physical and cyber space perception, cognition, and interaction. We detail the development of a prototype system and present findings from a user study that evaluates its effectiveness in a diverse range of AR settings. Our results underscore the potential of AR technologies in smishing detection, contributing to a safer interaction between virtual and real-world elements. The study also delves into aspects of AR display systems, user interface design, and the integration of haptic feedback, offering insights into the broader implications for seamless AR experiences.