A new differential privacy preserving crowdsensing scheme based on the Owen value

Sungwook Kim

doi:10.1186/s13638-019-1479-0

Abstract

The Internet of Everything (IoE) paradigm makes the Internet more pervasive, interconnecting every devices of everyday life, and it is a promising solution for the development of 5G network services. Nowadays, Internet-connected devices are equipped with various built-in sensors. Therefore, the concept of mobile crowdsensing (MC) has been introduced to the IoE-driven situation where mobile devices gather data with the aim of performing a specific application. In this paper, we propose a new cooperative game model for the privacy-driven device collaboration in the MC system. The major goal of our approach is to incentivize the participating devices for effective data acquisitions while protecting each individual privacy based on each device’s preference. According to the Owen value mechanism, the proposed scheme provides an effective payment solution for each MC participating device under privacy considered IoE environments. The main merit possessed by our MC control approach is to guide the cooperation of mobile devices in providing MC services. Performance evaluation reveals the superiority of our proposed scheme in terms of task success ratio, MC participating ratio, and payoff fairness. Finally, we provide the guidance on the future research direction of the MC system including other issues.

Highlights

The highly distributed Internet of Everything (IoE) paradigm envisions everyday life devices to be smart to communicate with each other, and extends ubiquity of the Internet through integrating each mobile device for the interaction via embedded systems
Owen value implementation: we introduce a novel cooperative game model while capturing dynamic interactions of mobile crowdsensing (MC) agents depending on their different viewpoints
We demonstrate that our proposed scheme significantly outperforms these existing BidGuard [17], accuracy privacy trade-off MC (APMC) [18], and privacy protectionoriented MC (PPMC) [19] schemes

Summary

Introduction

The highly distributed Internet of Everything (IoE) paradigm envisions everyday life devices to be smart to communicate with each other, and extends ubiquity of the Internet through integrating each mobile device for the interaction via embedded systems. The contributions of this study can be summarized as follows: Owen value implementation: we introduce a novel cooperative game model while capturing dynamic interactions of MC agents depending on their different viewpoints This approach is generic and applicable to implement real-world MC operations. 3.1 Cooperative game model for the MC system In this study, we consider that MC infrastructure is a new dimension of privacy preserving platform, which is consisting of mobile user devices, access points, and MC server. The DP adds random noises to public information in such a way it is not too sensitive to the response of any single participant; this assures an individual that any computation results will not unveil the presence (or absence) of its record It is a mathematical definition for the privacy loss that results to individuals when their private information is used in the creation of a data product [21, 22]. According to the game theory, the service availability of MUD is defined by using a quantity associated utility function, which can construct the relationship of DP and MC availability

The Owen value of cooperative game

Main steps of our integrated MC control scheme

Results and discussions