Zhang, Jie and Tang, Zhanyong and Chen, Xiaojiang and Fang, Dingyi and Li, Rong and Wang, Zheng (2017) Protect sensitive information against channel state information based attacks. In: 2017 IEEE International Conference on Computational Science and Engineering (CSE) and Embedded and Ubiquitous Computing (EUC) :. IEEE, CHN. ISBN 9781538632208
Smart_X_2017_paper_4.pdf - Accepted Version
Available under License Creative Commons Attribution.
Download (4MB)
Abstract
Channel state information (CSI) has been recently shown to be useful in performing security attacks in public WiFi environments. By analyzing how CSI is affected by the finger motions, CSI-based attacks can effectively reconstruct text-based passwords and locking patterns. This paper presents WiGuard, a novel system to protect sensitive on-screen gestures in a public place. Our approach carefully exploits the WiFi channel interference to introduce noise into the attacker's CSI measurement to reduce the success rate of the attack. Our approach automatically detects when a CSI-based attack happens. We evaluate our approach by applying it to protect text-based passwords and pattern locks on mobile devices. Experimental results show that our approach is able to reduce the success rate of CSI attacks from 92% to 42% for text-based passwords and from 82% to 22% for pattern lock.