Privacy using mobile cloud computing

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 goi...

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Bibliographic Details
Published in2015 Fifth International Conference on Digital Information and Communication Technology and its Applications (DICTAP) pp. 178 - 182
Main Authors Abdo, Jacques Bou, Demerjian, Jacques, Chaouchi, Hakima, Atechian, Talar, Bassil, Carole
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.04.2015
Subjects
Cloud computing
Computer architecture
Crowdsourcing
Decision support systems
Indexes
location based services
mobile cloud computing
Mobile communication
Privacy
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Summary: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.
DOI:10.1109/DICTAP.2015.7113194