Paper Info
Title
Preserving Data Query Privacy in Mobile Mashups through Mobile Cloud Computing
Abstract
Mobile mashups promise great data aggregation and processing capabilities for all end users. During the data collection procedures, some data providers fail to protect confidentiality and privacy of user queries and transmit information in plain text. This enables attackers to eavesdrop on networks and compromise user information. Since mobile mashups can adopt server-side, client-side, or hybrid architectures, no one-size-fits-all solutions can be designed to solve this problem. In this paper, we propose to design two mechanisms using mobile clouds to preserve data query privacy in mobile mashups. For server-side mashups, we propose to use dynamically created virtual machines as proxies to process data collection and aggregation in order to prevent information leakage through eavesdropping. For client-side mashups, we propose to use live migration of the application level virtual machines into mobile cloud to hide the data collection and aggregation procedures from attackers. We will evaluate the proposed approaches through both analysis and experiments on real platforms.
Year
DOI
Venue
2013
10.1109/ICCCN.2013.6614169
Computer Communications and Networks
Keywords
Field
DocType
cloud computing,data privacy,mobile computing,operating systems (computers),query processing,virtual machines,client side mashups,data aggregation,data collection,data collection procedures,data processing,data query privacy,mobile cloud computing,mobile mashups,plain text information,preserving data query privacy,server-side mashups,user queries privacy,virtual machines
Mobile cloud computing,Mobile computing,Virtual machine,Live migration,Computer science,Computer network,User information,Information privacy,Data aggregator,Cloud computing,Distributed computing
Conference
ISBN
Citations 
PageRank 
978-1-4673-5774-6
1
0.35
References 
Authors
20
2
Name
Order
Citations
PageRank
Rodney Owens110.35
Weichao Wang250033.87