DocumentCode :
1796784
Title :
Providing Efficient Privacy-Aware Incentives for Mobile Sensing
Author :
Qinghua Li ; Guohong Cao
fYear :
2014
fDate :
June 30 2014-July 3 2014
Firstpage :
208
Lastpage :
217
Abstract :
Mobile sensing relies on data contributed by users through their mobile device (e.g., smart phone) to obtain useful information about people and their surroundings. However, users may not want to contribute due to lack of incentives and concerns on possible privacy leakage. To effectively promote user participation, both incentive and privacy issues should be addressed. Existing work on privacy-aware incentive is limited to special scenario of mobile sensing where each sensing task needs only one data report from each user, and thus not appropriate for generic scenarios in which sensing tasks may require multiple reports from each user (e.g., in environmental monitoring applications). In this paper, we propose a privacy-aware incentive scheme for general mobile sensing, which allows each sensing task to collect one or multiple reports from each user as needed. Besides being more flexible in task management, our scheme has much lower computation and communication cost compared to the existing solution. Evaluations show that, when each node only contributes data for a small fraction of sensing tasks (e.g, due to the incapability or disqualification to generate sensing data for other tasks), our scheme runs at least one order of magnitude faster.
Keywords :
data privacy; mobile computing; mobile device; mobile sensing; privacy leakage; privacy-aware incentives; task management; user participation; Cryptography; Incentive schemes; Mobile communication; Mobile handsets; Privacy; Protocols; Sensors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Distributed Computing Systems (ICDCS), 2014 IEEE 34th International Conference on
Conference_Location :
Madrid
ISSN :
1063-6927
Print_ISBN :
978-1-4799-5168-0
Type :
conf
DOI :
10.1109/ICDCS.2014.29
Filename :
6888897
Link To Document :
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