TY - GEN
T1 - Non-cooperative wi-fi localization and its privacy implications
AU - Abedi, Ali
AU - Vasisht, Deepak
N1 - Publisher Copyright:
© 2022 ACM.
PY - 2022/10/14
Y1 - 2022/10/14
N2 - We present Wi-Peep-a new location-revealing privacy attack on non-cooperative Wi-Fi devices. Wi-Peep exploits loopholes in the 802.11 protocol to elicit responses from Wi-Fi devices on a network that we do not have access to. It then uses a novel time-of-flight measurement scheme to locate these devices. Wi-Peep works without any hardware or software modifications on target devices and without requiring access to the physical space that they are deployed in. Therefore, a pedestrian or a drone that carries a Wi-Peep device can estimate the location of every Wi-Fi device in a building. Our Wi-Peep design costs $20 and weighs less than 10 g. We deploy it on a lightweight drone and show that a drone flying over a house can estimate the location of Wi-Fi devices across multiple floors to meter-level accuracy. Finally, we investigate different mitigation techniques to secure future Wi-Fi devices against such attacks.
AB - We present Wi-Peep-a new location-revealing privacy attack on non-cooperative Wi-Fi devices. Wi-Peep exploits loopholes in the 802.11 protocol to elicit responses from Wi-Fi devices on a network that we do not have access to. It then uses a novel time-of-flight measurement scheme to locate these devices. Wi-Peep works without any hardware or software modifications on target devices and without requiring access to the physical space that they are deployed in. Therefore, a pedestrian or a drone that carries a Wi-Peep device can estimate the location of every Wi-Fi device in a building. Our Wi-Peep design costs $20 and weighs less than 10 g. We deploy it on a lightweight drone and show that a drone flying over a house can estimate the location of Wi-Fi devices across multiple floors to meter-level accuracy. Finally, we investigate different mitigation techniques to secure future Wi-Fi devices against such attacks.
UR - http://www.scopus.com/inward/record.url?scp=85140876157&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85140876157&partnerID=8YFLogxK
U2 - 10.1145/3495243.3560530
DO - 10.1145/3495243.3560530
M3 - Conference contribution
AN - SCOPUS:85140876157
T3 - Proceedings of the Annual International Conference on Mobile Computing and Networking, MOBICOM
SP - 570
EP - 582
BT - ACM MobiCom 2022 - Proceedings of the 2022 28th Annual International Conference on Mobile Computing and Networking
PB - Association for Computing Machinery
T2 - 28th ACM Annual International Conference on Mobile Computing and Networking, MobiCom 2022
Y2 - 17 October 2202 through 21 October 2202
ER -