Poster Abstract: PrivacyVis: Interactive Visualization Tool for Privacy Risks of Internet of Things Sensors
The widespread adoption of Internet of Things (IoT) devices has significantly enhanced convenience for consumers, yet the privacy implications of these devices remain unclear to most users, even with the availability of privacy policies. To address this challenge, we introduce a novel visualization tool that provides an informative and expressive visual representation of the sensors, data processing workflows, and associated privacy risks of IoT devices. This user-friendly tool is designed to enhance user understanding, empowering them to make informed decisions about their privacy.
Authors
- Dipu Ram Roy
- Shiwei Fang (ORCID: https://orcid.org/0000-0003-0134-5003)
- Shijia Pan (ORCID: https://orcid.org/0000-0002-3226-2318)
- J. L. Zhao (ORCID: https://orcid.org/0000-0002-4303-7722)
Institutions
- University of California, Merced (US)
- Bangladesh University of Engineering and Technology (BD)
- Augusta University (US)
Publication Details
- Published
- 2025-05-04
- DOI
- https://doi.org/10.1145/3715014.3724041
- Citations
- 1
- Primary Topic
- Privacy, Security, and Data Protection
- Type
- article
- Field-Weighted Citation Impact
- 4.20