Development of User-Participatory Crowdsensing System for Improved Privacy Preservation

Mihui Kim and Junhyeok Yun
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Mihui Kim: School of Computer Engineering & Applied Mathematics, Computer System Institute, Hankyong National University, Anseong 17579, Korea
Junhyeok Yun: School of Computer Engineering & Applied Mathematics, Computer System Institute, Hankyong National University, Anseong 17579, Korea

Future Internet, 2020, vol. 12, issue 3, 1-19

Abstract: Recently, crowdsensing, which can provide various sensing services using consumer mobile devices, is attracting considerable attention. The success of these services depends on active user participation and, thus, a proper incentive mechanism is essential. However, if the sensing information provided by a user includes personal information, and an attacker compromises the service provider, participation will be less active. Accordingly, personal information protection is an important element in crowdsensing services. In this study, we resolve this problem by separating the steps of sensing data processing and the reward payment process. An arbitrary node in a sensing data processing pool consisting of user nodes is selected for sensing data processing, and only the processing results are sent to the service provider server to reward the data providing node. The proposed user-participatory crowdsensing system is implemented on the Kaa Internet of things (IoT) platform to evaluate its performance and demonstrate its feasibility.

Keywords: crowdsensing; privacy preservation; user-participatory; separation of sensing processing (search for similar items in EconPapers)
JEL-codes: O3 (search for similar items in EconPapers)
Date: 2020
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