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Cloud-assisted mobile sensing systems.

State University of New York at Buffalo.

Cloud-assisted mobile sensing systems.

Record Type:	Language materials, manuscript : Monograph/item
Title/Author:	Cloud-assisted mobile sensing systems./
Author:	Chen, Si.
Description:	1 online resource (128 pages)
Notes:	Source: Dissertation Abstracts International, Volume: 77-10(E), Section: B.
Contained By:	Dissertation Abstracts International77-10B(E).
Subject:	Computer science. -
Online resource:	click for full text (PQDT)
ISBN:	9781339857190

Cloud-assisted mobile sensing systems.
Chen, Si.

Cloud-assisted mobile sensing systems. - 1 online resource (128 pages)

Source: Dissertation Abstracts International, Volume: 77-10(E), Section: B.

Thesis (Ph.D.)

Includes bibliographical references

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.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2018

Mode of access: World Wide Web

ISBN: 9781339857190Subjects--Topical Terms:

573171
Computer science.
Index Terms--Genre/Form:

554714
Electronic books.

Cloud-assisted mobile sensing systems.
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007 cr mn||||a|a||
008 190606s2016 xx obm 000 0 eng d
020 $a 9781339857190
035 $a (MiAaPQ)AAI10127687
035 $a (MiAaPQ)buffalo:14548
035 $a AAI10127687
040 $a MiAaPQ $b eng $c MiAaPQ
099 $a TUL $f hyy $c available through World Wide Web
100 1 $a Chen, Si. $3 1180200
245 1 0 $a Cloud-assisted mobile sensing systems.
264 0 $c 2016
300 $a 1 online resource (128 pages)
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
500 $a Source: Dissertation Abstracts International, Volume: 77-10(E), Section: B.
500 $a Adviser: Kui Ren.
502 $a Thesis (Ph.D.) $c State University of New York at Buffalo $d 2016.
504 $a Includes bibliographical references
520 $a 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.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2018
538 $a Mode of access: World Wide Web
650 4 $a Computer science. $3 573171
655 7 $a Electronic books. $2 local $3 554714
690 $a 0984
710 2 $a ProQuest Information and Learning Co. $3 1178819
710 2 $a State University of New York at Buffalo. $b Computer Science and Engineering. $3 1180201
773 0 $t Dissertation Abstracts International $g 77-10B(E).
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10127687 $z click for full text (PQDT)

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