An Insurance-based Incentive Mechanism for Mobile Crowdsourcing to Improve System Security

Zhao, Rong1; Jiang, Linshan2; Zhang, Jin1

10.1109/CSCWD.2018.8465240

2018

978-1-5386-1483-9

PROCEEDINGS OF THE 2018 IEEE 22ND INTERNATIONAL CONFERENCE ON COMPUTER SUPPORTED COOPERATIVE WORK IN DESIGN ((CSCWD))

377-383

9-11 May 2018

Nanjing, China

345 E 47TH ST, NEW YORK, NY 10017 USA

IEEE

In a crowdsourcing system, security is a critical issue which affects the participation willingness of users. To motivate users' participation, most of existing work provide additional reward to compensate their loss due to security issues. However, more efficient way is to motivate the users to arm with higher security capability, to reduce the infection probability from the attackers and malicious software. In this paper, we propose an insurance-based incentive framework to motivate the users to upgrade to a higher security level. The framework can be formed as a Stackelberg game, where crowdsourcing platform is the leader and the users are followers. Through backward induction, we found that a Nash Equilibrium exists in the Stackelberg game. Simulation result shows that the proposed mechanism can enhance both social welfare, platform utility and users' utility in the crowdsourcing system.

Mobile crowdsourcing incentive mechanism stackelberg game security level information loss

第一 ; 通讯

英语

CPCI-S ; EI

Shenzhen Science, Technology and Innovation Commission Basic Research Project[JCYJ 20160531190935987]

Computer Science ; Engineering

Computer Science, Interdisciplinary Applications ; Computer Science, Theory & Methods ; Engineering, Electrical & Electronic

WOS:000482133300066

20184105918715

Interactive computer systems

Digital Computers and Systems:722.4

Web of Science

1.Southern Univ Sci & Technol, Dept Comp Sci & Engn, Shenzhen, Peoples R China
2.Nanyang Technol Univ, Dept Comp Sci & Engn, Singapore, Singapore

Zhao, Rong,Jiang, Linshan,Zhang, Jin. An Insurance-based Incentive Mechanism for Mobile Crowdsourcing to Improve System Security[C]. 345 E 47TH ST, NEW YORK, NY 10017 USA:IEEE,2018:377-383.