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dc.contributor.authorChen, Si
dc.date.accessioned2017-08-23T20:22:58Z
dc.date.available2017-08-23T20:22:58Z
dc.date.issued2016
dc.identifier.isbn9781339857190
dc.identifier.other1798840414
dc.identifier.urihttp://hdl.handle.net/10477/76181
dc.description.abstractAs we are entering the era of mobile computing, the wide proliferation of sensor-equipped smartphone is increasingly influencing our daily life. Since smartphone equipped sensors (e.g. microphone, camera, accelerometer, gyroscope, compass) collect an increasing amount of sensitive information, performance and security issues has inevitably critical impact in mobile computing. In this dissertation, we focus on exploring the novel ideas and techniques to tackle practical problems and security issues for the cloud-assisted smartphone sensing systems. In particular, we discuss the smartphone-enabled crowdsourcing approaches that can build large-scale information infrastructures conveniently at a very low cost. Moreover, we also study smartphone security from the physical layer, leveraging various related characteristics to enable inherently secure and dependable wireless communications.
dc.languageEnglish
dc.sourceDissertations & Theses @ SUNY Buffalo,ProQuest Dissertations & Theses Global
dc.subjectApplied sciences
dc.subjectAcoustic
dc.subjectCloud
dc.subjectFloorplan
dc.subjectMobile sensing
dc.subjectSmartphone
dc.titleCloud-assisted mobile sensing systems
dc.typeDissertation/Thesis


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