Results 21 to 30 of about 840,001 (278)

Differential privacy protection method based on published trajectory cross-correlation constraint.

open access: yesPLoS ONE, 2020
Aiming to solve the problem of low data utilization and privacy protection, a personalized differential privacy protection method based on cross-correlation constraints is proposed.
Zhaowei Hu, Jing Yang
doaj   +1 more source

Trajectory privacy data publishing scheme based on local optimisation and R-tree

open access: yesConnection Science, 2023
The proliferation of location-based service applications has led to a substantial surge in the amount of life trajectory data produced by mobile devices. And these data frequently contain confidential personal details.
Peiqian Liu   +3 more
doaj   +1 more source

Differential-Privacy Preserving Trajectory Data Publishing for Road Networks

open access: yes, 2023
In the sharing of user trajectory data of road networks, privacy leakage emerges to be a major concern because attackers may make aggressive reasoning and analysis based on the published trajectory data with certain background knowledge to obtain the ...
Tian, H, Sang, Y, Shen, H, Li, S
core   +1 more source

RcDT: Privacy Preservation Based on R-Constrained Dummy Trajectory in Mobile Social Networks

open access: yesIEEE Access, 2019
The boom of mobile devices and location-based services (LBSs) greatly enriches the mobile social network (MSN) applications, which bring convenience to our daily life and, meanwhile, raise serious privacy concerns due to the potential disclosure risk of ...
Jinquan Zhang   +3 more
doaj   +1 more source

IFTS: A Location Privacy Protection Method Based on Initial and Final Trajectory Segments

open access: yesIEEE Access, 2021
Privacy protection problem is one of the most concerning issues related to Location-Based Services (LBS) in our daily life. Privacy protection of LBS often requires anonymizing customer's trajectory data.
Jiuyun Xu   +5 more
doaj   +1 more source

Dissociated jerk-limited trajectory applied to time-varying vibration reduction [PDF]

open access: yes, 2013
Jerk-limited trajectories are a widespread solution for the trajectory planning of industrial machines Tools or robots. It is known that jerk limitation can reduce vibrations and in some cases can totally suppress residual vibration induced by a lightly ...
BEAREE, Richard, OLABI, Adel
core   +1 more source

DPTP-LICD: A differential privacy trajectory protection method based on latent interest community detection

open access: yesHigh-Confidence Computing, 2023
With the rapid development of high-speed mobile network technology and high-precision positioning technology, the trajectory information of mobile users has received extensive attention from academia and industry in the field of Location-based Social ...
Weiqi Zhang   +4 more
doaj   +1 more source

Trajectory privacy protection mechanism of obfuscating paths based on vehicles cooperation

open access: yes网络与信息安全学报, 2019
Vehicles sent location information to third parties to obtain location-based services in the Internet of vehicles,which may lead to vehicle trajectory privacy leakage.To address the privacy problem,trajectory privacy protection mechanism of obfuscating ...
Ziwen ZHAO   +3 more
doaj   +3 more sources

Trajectory differential privacy protection mechanism based on prediction and sliding window

open access: yesTongxin xuebao, 2020
To address the issues of privacy budget and quality of service in trajectory differential privacy protection,a trajectory differential privacy mechanism integrating prediction disturbance was proposed.Firstly,Markov chain and exponential perturbation ...
Ayong YE   +4 more
doaj   +2 more sources

A Privacy-Preserving Trajectory Publishing Method Based on Multi-Dimensional Sub-Trajectory Similarities

open access: yesSensors, 2023
With the popularity of location services and the widespread use of trajectory data, trajectory privacy protection has become a popular research area. k-anonymity technology is a common method for achieving privacy-preserved trajectory publishing.
Hua Shen, Yu Wang, Mingwu Zhang
doaj   +1 more source

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