6 citations · 8 across the 2 of their papers we have counts for
2 papers
cs.GT2017★ 2 cited
LEPA: Incentivizing Long-term Privacy-preserving Data Aggregation in Crowdsensing
Zhikun Zhang, Shibo He, Mengyuan Zhang +1
In this paper, we study the incentive mechanism design for real-time data aggregation, which holds a large spectrum of crowdsensing applications. Despite extensive studies on stati…
cs.GT2017★ 6 cited
REAP: An Efficient Incentive Mechanism for Reconciling Aggregation Accuracy and Individual Privacy in Crowdsensing
Zhikun Zhang, Shibo He, Jiming Chen +1
Incentive mechanism plays a critical role in privacy-aware crowdsensing. Most previous studies on co-design of incentive mechanism and privacy preservation assume a trustworthy fus…