电子学报2023，Vol.51Issue(10)：2894-2901,8.DOI:10.12263/DZXB.20230359
基于自适应连续时间的群智感知轨迹隐私保护方案
Track Privacy Protection Scheme Based on Adaptive Continuous Time in Crowdsensing
摘要
Abstract
In response to the problems of poor prediction accuracy and low utility of privacy budget allocation in tra-jectory differential privacy protection,our paper proposes an adaptive trajectory prediction scheme for continuous time se-ries in crowdsensing.Firstly,in the task assignment phase,trajectory routes are assigned to participants.Then,the HMM(Hidden Markov Model)is introduced to predict the trajectories.Next,a comprehensive privacy budget allocation method combining pre-allocation and adaptive allocation is used to reduce the privacy budget.Finally,the laplace mechanism is ap-plied to perturb the locations.Experimental results show that compared with related work,the proposed method achieves a balance between prediction accuracy and low budget requirements,and provides good privacy protection for participants in trajectory privacy security in crowdsensing.关键词
轨迹预测/差分隐私/综合性隐私预算分配/自适应连续时间/群智感知Key words
trajectory prediction/differential privacy/comprehensive privacy budget allocation/adaptive continuous time/crowdsensing分类
信息技术与安全科学引用本文复制引用
蒋伟进,王海娟,周为,陈艺琳,吴玉庭,韩裕清..基于自适应连续时间的群智感知轨迹隐私保护方案[J].电子学报,2023,51(10):2894-2901,8.基金项目
国家自然科学基金(No.61772196,No.72088101)National Natural Science Foundation of China(No.61772196,No.72088101) （No.61772196,No.72088101）
