Privacy using Mobile Cloud Computing

被引：0

作者：

Abdo, Jacques Bou ^{[1
]}

Demerjian, Jacques ^{[2
]}

Chaouchi, Hakima ^{[3
]}

Atechian, Talar ^{[4
]}

Bassil, Carole ^{[5
]}

机构：

[1] Notre Dame Univ, Fac Nat & Appl Sci, Deir El Qamar, Lebanon

[2] Lebanese Univ, Fac Engn, Baabda, Lebanon

[3] Inst Telecom, Telecom Sud Paris, CNRS SAMOVAR, UMR 5751, Paris, France

[4] Antonine Univ, Fac Engn, Baabda, Lebanon

[5] Lebanese Univ, Fac Sci 2, Fanar, Lebanon

来源：

2015 FIFTH INTERNATIONAL CONFERENCE ON DIGITAL INFORMATION AND COMMUNICATION TECHNOLOGY AND ITS APPLICATIONS (DICTAP) | 2015年

关键词：

crowdsourcing; mobile cloud computing; location based services; privacy;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Crowdsourcing mobile applications are of increasing importance due to their suitability in providing personalized and better matching replies. Crowdsourcing location based services inherit the querying mechanism from its legacy predecessors and this is where the threat lays. In this paper we are going to prove mathematically that the mechanism with highest privacy level "Footprint" does not satisfy the privacy level needed by crowdsourced location based services and then prove that higher privacy level and lower overhead is achieved when these services are implemented in Operator centric mobile cloud architecture.

引用

页码：178 / 182

页数：5

共 13 条

[1]

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[2]

[Anonymous], 2008, CROWDSOURCING POWER

[3]

[Anonymous], 2009, 33821 3GPP TTR SAE 3

[4]

[Anonymous], P IEEE INT C COMP AP

[5]

Barry B. L., 2013, MANAGE SCI, V59, P226

[6]

Bou Abdo J, 2013, Next-generation wireless technologies, P243

[7]

Bozzon A., 2012, P 21 INT C WORLD WID, P1009

[8]

Bulut M. E., 2011, 2011 IEEE INT C PERV

[9]

Demerjian J., 2014, 2014 IEEE WIR COMM N

[10]

Demerjian J., 2014, 17 IEEE MED EL C IEE

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