Paper Info
Title
Privacy Protection-Oriented Mobile Crowdsensing Analysis Based On Game Theory
Abstract
As a new method of the Internet of Things (IoT), the mobile crowdsensing provides a novel way to realize the ubiquitous social perception. From the point of the game theory, this paper addresses the reputation incentive mechanism and discusses the prisoner's dilemma in the mobile crowdsensing. Firstly, we give a formal definition of the sensing user's contribution based on the accuracy in data analysis, and propose a reputation incentive mechanism based on this contribution, which considers the privacy protection of the sensing data and encourages more sensing users to continually provide the high-quality data to participate in the mobile crowdsensing. Furthermore, we observe that the sensing user's benefits not only depend on their own contribution, but also rely on the outcome of the final data transaction between the service provider and the mediator. However, this data transaction is vulnerable to the prisoner's dilemma due to the selfish choice of the both parties. Therefore, we analyze and discuss the prisoner's dilemma in the above data transactions and give the corresponding solutions. Finally, we point out some future research directions about privacy protection of the mobile crowdsensing.
Year
DOI
Venue
2017
10.1109/Trustcom/BigDataSE/ICESS.2017.342
2017 16TH IEEE INTERNATIONAL CONFERENCE ON TRUST, SECURITY AND PRIVACY IN COMPUTING AND COMMUNICATIONS / 11TH IEEE INTERNATIONAL CONFERENCE ON BIG DATA SCIENCE AND ENGINEERING / 14TH IEEE INTERNATIONAL CONFERENCE ON EMBEDDED SOFTWARE AND SYSTEMS
Field
DocType
ISSN
Mobile computing,Internet privacy,Computer security,Computer science,Service provider,Game theory,Dilemma,Information privacy,Database transaction,Mobile telephony,Reputation
Conference
2324-9013
Citations 
PageRank 
References 
1
0.35
22
Authors
6
Name
Order
Citations
PageRank
Rong Ma1151.90
Jinbo Xiong218029.89
Mingwei Lin3378.91
Zhiqiang Yao420726.95
Hui Lin5216.08
Ayong Ye6114.26