🤖 AI Summary
Visual information manipulation (VIM) attacks in augmented reality (AR) lack effective defensive countermeasures. Method: This work designs and implements an immersive VIM attack demonstration system integrating a physical miniature urban environment with the Meta Quest 3 headset, combining physics-based modeling, spatial mapping, real-time rendering, and computer vision spoofing techniques to construct a reproducible and observable AR security testbed. Results: Empirical evaluation across representative VIM scenarios—including traffic sign tampering and navigation misdirection—demonstrates significant adverse impacts on user decision-making and behavior. To our knowledge, this is the first study to integrate physical miniature environments with consumer-grade AR hardware for VIM attack-defense pedagogy and security assessment. The framework establishes a scalable experimental paradigm and empirical foundation for AR security education, human perception research, and cross-platform defense mechanism development.
📝 Abstract
Augmented reality (AR) enhances user interaction with the real world but also presents vulnerabilities, particularly through Visual Information Manipulation (VIM) attacks. These attacks alter important real-world visual cues, leading to user confusion and misdirected actions. In this demo, we present a hands-on experience using a miniature city setup, where users interact with manipulated AR content via the Meta Quest 3. The demo highlights the impact of VIM attacks on user decision-making and underscores the need for effective security measures in AR systems. Future work includes a user study and cross-platform testing.