Abstract
Given the availability of cameras in mobile phones, drones and Internet-connected devices, facial privacy has become an area of major interest in the last few years, especially when photos are captured and can be used to identify bystanders’ faces who may have not given consent for these photos to be taken and be identified. Some solutions to protect facial privacy in photos currently exist. However, many of these solutions do not give a choice to bystanders because they rely on algorithms that de-identify photos or protocols to deactivate devices and systems not controlled by bystanders, thereby being dependent on the bystanders’ trust in these systems to protect his/her facial privacy. To address these limitations, we propose FacePET (Facial Privacy Enhancing Technology), a wearable system worn by bystanders and designed to enhance facial privacy. We present the design, implementation, and evaluation of the FacePET and discuss some open research issues.
Document Type
Article
Publication Date
12-3-2018
Digital Object Identifier (DOI)
https://doi.org/10.3390/electronics7120379
Funding Information
This research was funded by the U.S. National Science Foundation and the U.S. Department of Defense under grant award no. 1560214.
Repository Citation
Perez, Alfredo J.; Zeadally, Sherali; Garcia, Luis Y. Matos; Mouloud, Jaouad A.; and Griffith, Scott, "FacePET: Enhancing Bystanders' Facial Privacy with Smart Wearables/Internet of Things" (2018). Information Science Faculty Publications. 51.
https://uknowledge.uky.edu/slis_facpub/51
Included in
Digital Communications and Networking Commons, Electrical and Computer Engineering Commons, Information Security Commons
Notes/Citation Information
Published in Electronics, v. 7, issue 12, 379, p. 1-19.
© 2018 by the authors. Licensee MDPI, Basel, Switzerland.
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).