Providing efficient privacy-aware incentives for mobile sensing

Qinghua Li, Guohong Cao

Research output: Chapter in Book/Report/Conference proceedingConference contribution

45 Citations (Scopus)

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.

Original languageEnglish (US)
Title of host publicationProceedings - International Conference on Distributed Computing Systems
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages208-217
Number of pages10
ISBN (Electronic)9781479951680
DOIs
StatePublished - Aug 29 2014
Event2014 IEEE 34th International Conference on Distributed Computing Systems, ICDCS 2014 - Madrid, Spain
Duration: Jun 30 2014Jul 3 2014

Publication series

NameProceedings - International Conference on Distributed Computing Systems

Other

Other2014 IEEE 34th International Conference on Distributed Computing Systems, ICDCS 2014
CountrySpain
CityMadrid
Period6/30/147/3/14

Fingerprint

Mobile devices
Monitoring
Communication
Costs

All Science Journal Classification (ASJC) codes

  • Software
  • Hardware and Architecture
  • Computer Networks and Communications

Cite this

Li, Q., & Cao, G. (2014). Providing efficient privacy-aware incentives for mobile sensing. In Proceedings - International Conference on Distributed Computing Systems (pp. 208-217). [6888897] (Proceedings - International Conference on Distributed Computing Systems). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICDCS.2014.29
Li, Qinghua ; Cao, Guohong. / Providing efficient privacy-aware incentives for mobile sensing. Proceedings - International Conference on Distributed Computing Systems. Institute of Electrical and Electronics Engineers Inc., 2014. pp. 208-217 (Proceedings - International Conference on Distributed Computing Systems).
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Li, Q & Cao, G 2014, Providing efficient privacy-aware incentives for mobile sensing. in Proceedings - International Conference on Distributed Computing Systems., 6888897, Proceedings - International Conference on Distributed Computing Systems, Institute of Electrical and Electronics Engineers Inc., pp. 208-217, 2014 IEEE 34th International Conference on Distributed Computing Systems, ICDCS 2014, Madrid, Spain, 6/30/14. https://doi.org/10.1109/ICDCS.2014.29

Providing efficient privacy-aware incentives for mobile sensing. / Li, Qinghua; Cao, Guohong.

Proceedings - International Conference on Distributed Computing Systems. Institute of Electrical and Electronics Engineers Inc., 2014. p. 208-217 6888897 (Proceedings - International Conference on Distributed Computing Systems).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Li Q, Cao G. Providing efficient privacy-aware incentives for mobile sensing. In Proceedings - International Conference on Distributed Computing Systems. Institute of Electrical and Electronics Engineers Inc. 2014. p. 208-217. 6888897. (Proceedings - International Conference on Distributed Computing Systems). https://doi.org/10.1109/ICDCS.2014.29