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A Loss-Tolerant Mechanism of Message Segmentation and Reconstruction in Multi-path Communication of Anti-tracking Network.

, , , , and . SecureComm (1), volume 304 of Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, page 490-508. Springer, (2019)

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Mining Users' Important Locations and Semantics on Cellular Network Data., , and . DSC, page 283-291. IEEE Computer Society, (2017)NSIM: A robust method to discover similar trajectories on cellular network location data., , and . PIMRC, page 1-7. IEEE, (2017)MSTM: A novel map matching approach for low-sampling-rate trajectories., , and . PIMRC, page 1-7. IEEE, (2017)CgNet: Predicting Urban Congregations from Spatio-Temporal Data Using Deep Neural Networks., , , and . GLOBECOM, page 1-7. IEEE, (2020)Towards Robust and Accurate Similar Trajectory Discovery: Weak-Parametric Approaches., , and . NAS, page 1-10. IEEE Computer Society, (2017)Online Discovery of Congregate Groups on Sparse Spatio-temporal Data., , , and . PIMRC, page 1-7. IEEE, (2018)Detecting Abnormal Congregation Through the Analysis of Massive Spatio-Temporal Data., , , and . APWeb/WAIM (2), volume 12318 of Lecture Notes in Computer Science, page 376-390. Springer, (2020)A Loss-Tolerant Mechanism of Message Segmentation and Reconstruction in Multi-path Communication of Anti-tracking Network., , , , and . SecureComm (1), volume 304 of Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, page 490-508. Springer, (2019)Detecting Unknown DGAs Using Distances Between Feature Vectors of Domain Names., , , and . ICT, page 1-7. IEEE, (2021)A Smart Topology Construction Method for Anti-tracking Network Based on the Neural Network., , , , and . CollaborateCom, volume 292 of Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, page 439-454. Springer, (2019)