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Defeat Your Enemy Hiding Behind Public WiFi: WiGuard Can Protect Your Sensitive information from CSI-based Attack

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Defeat Your Enemy Hiding Behind Public WiFi: WiGuard Can Protect Your Sensitive information from CSI-based Attack. / Zhang, Jie; Tang, Zhanyong; Li, Meng et al.
In: Applied Sciences, Vol. 8, No. 4, 515, 28.03.2018.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

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Zhang J, Tang Z, Li M, Chen X, Fang D, Wang Z. Defeat Your Enemy Hiding Behind Public WiFi: WiGuard Can Protect Your Sensitive information from CSI-based Attack. Applied Sciences. 2018 Mar 28;8(4):515. doi: 10.3390/app8040515

Author

Zhang, Jie ; Tang, Zhanyong ; Li, Meng et al. / Defeat Your Enemy Hiding Behind Public WiFi : WiGuard Can Protect Your Sensitive information from CSI-based Attack. In: Applied Sciences. 2018 ; Vol. 8, No. 4.

Bibtex

@article{6a2311d2dbfe42238ca3e68ffc55a92e,
title = "Defeat Your Enemy Hiding Behind Public WiFi: WiGuard Can Protect Your Sensitive information from CSI-based Attack",
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 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 input information in a public place. Our approach carefully exploits WiFi channel interference to introduce noise to attacker{\textquoteright}s CSI measurements to reduce the success rate of CSI-based attacks. 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-based attacks from 92–42% for text-based passwords and from 82–22% for pattern lock.",
keywords = "CSI-based attack, channel interference, sensitive information protection",
author = "Jie Zhang and Zhanyong Tang and Meng Li and Xiaojiang Chen and Dingyi Fang and Zheng Wang",
year = "2018",
month = mar,
day = "28",
doi = "10.3390/app8040515",
language = "English",
volume = "8",
journal = "Applied Sciences",
issn = "2076-3417",
publisher = "Multidisciplinary Digital Publishing Institute (MDPI)",
number = "4",

}

RIS

TY - JOUR

T1 - Defeat Your Enemy Hiding Behind Public WiFi

T2 - WiGuard Can Protect Your Sensitive information from CSI-based Attack

AU - Zhang, Jie

AU - Tang, Zhanyong

AU - Li, Meng

AU - Chen, Xiaojiang

AU - Fang, Dingyi

AU - Wang, Zheng

PY - 2018/3/28

Y1 - 2018/3/28

N2 - 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 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 input information in a public place. Our approach carefully exploits WiFi channel interference to introduce noise to attacker’s CSI measurements to reduce the success rate of CSI-based attacks. 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-based attacks from 92–42% for text-based passwords and from 82–22% for pattern lock.

AB - 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 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 input information in a public place. Our approach carefully exploits WiFi channel interference to introduce noise to attacker’s CSI measurements to reduce the success rate of CSI-based attacks. 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-based attacks from 92–42% for text-based passwords and from 82–22% for pattern lock.

KW - CSI-based attack

KW - channel interference

KW - sensitive information protection

U2 - 10.3390/app8040515

DO - 10.3390/app8040515

M3 - Journal article

VL - 8

JO - Applied Sciences

JF - Applied Sciences

SN - 2076-3417

IS - 4

M1 - 515

ER -