Research Article
A Secure Crowdsourcing-Based Indoor Navigation System
@INPROCEEDINGS{10.1007/978-3-030-64002-6_9, author={Liang Xie and Zhou Su and Qichao Xu}, title={A Secure Crowdsourcing-Based Indoor Navigation System}, proceedings={Mobile Networks and Management. 10th EAI International Conference, MONAMI 2020, Chiba, Japan, November 10--12, 2020, Proceedings}, proceedings_a={MONAMI}, year={2020}, month={12}, keywords={Crowdsourcing Collusion Indoor navigation Reputation mechanism Offensive and defensive game}, doi={10.1007/978-3-030-64002-6_9} }- Liang Xie
Zhou Su
Qichao Xu
Year: 2020
A Secure Crowdsourcing-Based Indoor Navigation System
MONAMI
Springer
DOI: 10.1007/978-3-030-64002-6_9
Abstract
At present, the crowdsourcing-based indoor navigation system has attracted extensive attention from both the industry and the academia. The crowdsourcing-based indoor navigation system commendably solves the deficiencies (e.g., high cost, low accuracy, etc.) of traditional navigation methods. Unfortunately, the system that relies on crowdsourced data is vulnerable to the collusion attack, which may threaten the security of the system. In this paper, a novel crowdsourcing-based secure indoor navigation system is proposed. Specifically, we first propose a novel reputation mechanism. Then, we employ the offensive and defensive game to model the interactions between the fog service platform and responders. Next, the optimization problem of the system is established to maximize the total utility of the system. Finally, the simulation results demonstrate that the proposed system can effectively encourage responders to provide positive navigation services.
