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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 todoi:10.1109/cse-euc.2017.221 dblp:conf/cse/ZhangTLCGFW17 fatcat:uojbltgydfekfguzicizbpy2qu