Privacy using mobile cloud computing

Author

Abdo, Jacques Bou ; Demerjian, Jacques ; Chaouchi, Hakima ; Atechian, Talar ; Bassil, Carole

Author_Institution

Fac. of Natural & Appl. Sci., Notre Dame Univ., Deir el Qamar, Lebanon

fYear

2015

fDate

April 29 2015-May 1 2015

Firstpage

178

Lastpage

182

Abstract

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.

Keywords

cloud computing; data privacy; mobile computing; crowdsourcing location based services; legacy predecessors; mobile cloud computing; operator centric mobile cloud architecture; privacy level; querying mechanism; Cloud computing; Computer architecture; Crowdsourcing; Decision support systems; Indexes; Mobile communication; Privacy; crowdsourcing; location based services; mobile cloud computing; privacy;

fLanguage

English

Publisher

ieee

Conference_Titel

Digital Information and Communication Technology and its Applications (DICTAP), 2015 Fifth International Conference on

Conference_Location

Beirut

Print_ISBN

978-1-4799-4130-8

Type

conf

DOI

10.1109/DICTAP.2015.7113194

Filename

7113194