2015 · 175 citations · 24 references
ComputingComputer EngineeringComputer ScienceComputer SecurityMobile SecurityWireless SecurityBluetooth SecurityEmbedded SecurityMobile Device SecuritySecure Mobile CommunicationSide-channel AttacksWireless Device SecurityBluetooth Low Energy SecurityBluetooth Replay AttacksPerformance OverheadPerformance Overhead AnalysisRandomization SchemeReplay Attack MitigationUbiquitous Computing
One rising trend in today's consumer electronics is the wearable devices, e.g., smartwatches. With tens of millions of smartwatches shipped, however, the security implications of such devices are not fully understood. Although previous studies have pointed out some privacy concerns about the data that can be collected, like personalized health information, the threat is considered low as the leaked data is not highly sensitive and there is no real attack implemented. In this paper we investigate a security problem coming from sensors in smartwatches, especially the accelerometer. The results show that the actual threat is much beyond people's awareness. Being worn on the wrist, the accelerometer built within a smartwatch can track user's hand movements, which makes inferring user inputs on keyboards possible in theory. But several challenges need to be addressed ahead in the real-world settings: e.g., small and irregular hand movements occur persistently during typing, which degrades the tracking accuracy and sometimes even overwhelms useful signals.
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IEEE Security & Privacy · 2004 · 1.5K citations
Emmanuel Owusu, Jun Han, Sauvik Das et al. · 2012 · 373 citations
Instructing people for training gestural interactive systems
Simon Fothergill, Helena M. Mentis, Pushmeet Kohli et al. · 2012 · 371 citations
TouchLogger: inferring keystrokes on touch screen from smartphone motion