… compressive sensing as the data recovery … in a trajectory (represented as a vector) by adding
several public vectors to the trajectory vector before having performed trajectory recovery in …

… , while the platform uses reconstruction algorithms to restore high-quality data. Although
these … an MCS privacy-preserving data collection and computing offloading scheme based on …

… trajectories by introducing a novel paradigm of deanonymization attack re-identifying trajectories
of victims from anonymous trajectory … via recovery algorithm with high precision based …

… they can collect sensing data for, based on their trajectories or … 1) Recover all task data We
denote the sensing data of participant … In DS-UPP, we develop a compressive sensing based …

… This is commonly done based on the compressive sensing (CS… We propose a privacy-preserving
location obfuscation protocol … to encrypt his trajectory with several other trajectories (no …

… undermines the recovery performance if conventional compressive sensing is … based on
which we devise two recovery algorithms: Threshold Recovery (TR) and Weighted Recovery …

… , we propose a privacy-preserving framework including three … Therefore, in this work, we
adopt compressive sensing as the … and Plan [42] have proven that one can recover an unknown …

… are proposed to solve the data recovery of compressive sensing. For instance, BP algorithm
[… et al, “Privacy-preserving compressive sensing for crowdsensing based trajectory recovery,” …

… Liu, “Privacy-preserving compressive sensing for crowdsensing based trajectory recovery,”
in 2015 IEEE 35th International Conference on Distributed Computing Systems. IEEE, 2015, …

… Thus, the compressive sensing feature can be kept in our … scheme for crowdsensing based
trajectory recovery, which … into the compressive sensing framework to accomplish recovery …