Proceedings of the ACM International Conference on Mobile Computing and Networking
Department of Computer Science
Providing secure communications between wireless devices that encounter each other on an ad-hoc basis is a challenge that has not yet been fully addressed. In these cases, close physical proximity among devices that have never shared a secret key is sometimes used as a basis of trust; devices in close proximity are deemed trustworthy while more distant devices are viewed as potential adversaries. Because radio waves are invisible, however, a user may believe a wireless device is communicating with a nearby device when in fact the user’s device is communicating with a distant adversary. Researchers have previously proposed methods for multi-antenna devices to ascertain physical proximity with other devices, but devices with a single antenna, such as those commonly used in the Internet of Things, cannot take advantage of these techniques. We present theoretical and practical evaluation of a method called SNAP – SiNgle Antenna Proximity – that allows a single-antenna Wi-Fi device to quickly determine proximity with another Wi-Fi device. Our proximity detection technique leverages the repeating nature Wi-Fi’s preamble and the behavior of a signal in a transmitting antenna’s near-field region to detect proximity with high probability; SNAP never falsely declares proximity at ranges longer than 14 cm.
Timothy J. Pierson, Travis Peters, Ronald Peterson, and David Kotz. Proximity Detection with Single-Antenna IoT Devices. Proceedings of the ACM International Conference on Mobile Computing and Networking (MobiCom), article 21, 15 pages. ACM, October 2019. doi:10.1145/3300061.3300120.
Dartmouth Digital Commons Citation
Pierson, Timothy J.; Peters, Travis; Peterson, Ronald; and Kotz, David, "Proximity Detection with Single-Antenna IoT Devices" (2019). Open Dartmouth: Published works by Dartmouth faculty. 4015.