| Title | Stealthy Privacy Attacks Against Mobile AR Apps |
| Publication Type | Conference Paper |
| Year of Publication | 2020 |
| Authors | Lehman, Sarah M., Alrumayh, Abrar S., Ling, Haibin, Tan, Chiu C. |
| Conference Name | 2020 IEEE Conference on Communications and Network Security (CNS) |
| Date Published | jun |
| Publisher | IEEE |
| Keywords | augmented reality, Cameras, Feeds, Human Behavior, image recognition, Libraries, privacy, pubcrawl, resilience, Resiliency, Scalability, Target recognition, target tracking |
| Abstract | The proliferation of mobile augmented reality applications and the toolkits to create them have serious implications for user privacy. In this paper, we explore how malicious AR app developers can leverage capabilities offered by commercially available AR libraries, and describe how edge computing can be used to address this privacy problem. |
| DOI | 10.1109/CNS48642.2020.9162330 |
| Citation Key | lehman_stealthy_2020 |
Stealthy Privacy Attacks Against Mobile AR Apps