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Cloud-assisted mobile sensing systems.
~
Chen, Si.
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Cloud-assisted mobile sensing systems.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Cloud-assisted mobile sensing systems./
作者:
Chen, Si.
出版者:
Ann Arbor : ProQuest Dissertations & Theses, : 2016,
面頁冊數:
128 p.
附註:
Source: Dissertation Abstracts International, Volume: 77-10(E), Section: B.
Contained By:
Dissertation Abstracts International77-10B(E).
標題:
Computer science. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10127687
ISBN:
9781339857190
Cloud-assisted mobile sensing systems.
Chen, Si.
Cloud-assisted mobile sensing systems.
- Ann Arbor : ProQuest Dissertations & Theses, 2016 - 128 p.
Source: Dissertation Abstracts International, Volume: 77-10(E), Section: B.
Thesis (Ph.D.)--State University of New York at Buffalo, 2016.
As 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.
ISBN: 9781339857190Subjects--Topical Terms:
523869
Computer science.
Cloud-assisted mobile sensing systems.
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As 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.
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