Document Type
Conference Paper
Publication Date
5-2017
Publication Title
Proceedings of the IEEE International Conference on Computer Communications (INFOCOM)
Department
Department of Computer Science
Abstract
Wearables are small and have limited user interfaces, so they often wirelessly interface with a personal smartphone/computer to relay information from the wearable for display or other interactions. In this paper, we envision a new method, LightTouch, by which a wearable can establish a secure connection to an ambient display, such as a television or a computer monitor, while ensuring the user's intention to connect to the display. LightTouch uses standard RF methods (like Bluetooth) for communicating the data to display, securely bootstrapped via the visible-light communication (the brightness channel) from the display to the low-cost, low-power, ambient light sensor of a wearable. A screen `touch' gesture is adopted by users to ensure that the modulation of screen brightness can be securely captured by the ambient light sensor with minimized noise. Wireless coordination with the processor driving the display establishes a shared secret based on the brightness channel information. We further propose novel on-screen localization and correlation algorithms to improve security and reliability. Through experiments and a preliminary user study we demonstrate that LightTouch is compatible with current display and wearable designs, is easy to use (about 6 seconds to connect), is reliable (up to 98\% success connection ratio), and is secure against attacks.
DOI
10.1109/INFOCOM.2017.8057210
Original Citation
X. Liang, T. Yun, R. Peterson and D. Kotz, "LightTouch: Securely connecting wearables to ambient displays with user intent," IEEE INFOCOM 2017 - IEEE Conference on Computer Communications, Atlanta, GA, 2017, pp. 1-9, doi: 10.1109/INFOCOM.2017.8057210.
Dartmouth Digital Commons Citation
Liang, Xiaohui; Yun, Tianlong; Peterson, Ronald; and Kotz, David, "LightTouch: Securely Connecting Wearables to Ambient Displays with User Intent" (2017). Dartmouth Scholarship. 3010.
https://digitalcommons.dartmouth.edu/facoa/3010