id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
ajst-26222	Fan, Yuanlong; Song, Cheng; Wang, Zhichao	Secure and Efficient k-anonymous Trajectory Privacy Protection Method based on Differential Privacy	2024	6	.pdf	application/pdf	4415	250	50	The scheme proposed in this paper generates noise trajectories by adding Laplacian noise to user trajectories multiple times, and selects the first noise trajectories with less similarity according to the trajectory similarity formula, and discards the ones with greater trajectories similarity. Based on the anonymity of user identity, the scheme uses differential privacy mechanism to add Laplacian noise to user trajectories multiple times to generate noise trajectories, and selects noise users similar to user trajectories according to the trajectory similarity.	cache/ajst-26222.pdf	txt/ajst-26222.txt