基于自适应连续时间的群智感知轨迹隐私保护方案OACSCDCSTPCD

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.