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Privacy-preserving trajectory stream publishing

Data & Knowledge Engineering, 2014
Recent advancement in mobile computing and sensory technology has facilitated the possibility of continuously updating, monitoring, and detecting the latest location and status of moving individuals. Spatio-temporal data generated and collected on the fly are described as trajectory streams.
Khalil Al-Hussaeni   +2 more
openaire   +3 more sources

SST: Privacy Preserving for Semantic Trajectories

2015 16th IEEE International Conference on Mobile Data Management, 2015
To preserve privacy in trajectory data, most existing approaches adapt cloaking techniques to protect individual location points or clustering and perturbation techniques to protect entire trajectories. To confirm to the k-anonymity model, they first group locations/trajectories and then modify location points to ensure a cluster of k location points ...
Pin-I Han, Hsiao-Ping Tsai
openaire   +2 more sources

An Efficient Method on Trajectory Privacy Preservation

2015
Traditional trajectory k-anonymity method might lead to a serious information distortion of trajectory and reduce the data quality. This paper proposes an efficient method to protect trajectory privacy by protecting points of interest, and improve the data quality.
Zhiqiang Zhang 0010   +3 more
openaire   +1 more source

Trajectory Privacy Protection on Spatial Streaming Data with Differential Privacy

2018 IEEE Global Communications Conference (GLOBECOM), 2018
Continuously sharing user's trajectory data which contain one's location information makes the crowd sensing of the traffic dynamics and mobility trends feasible. This kind of spatial streaming data is beneficial for intelligent transportation but at the risk of disclosing personal privacy, even if it is published in statistical form such as “the ...
Xiang Liu   +3 more
openaire   +1 more source

DP-TrajGAN: A privacy-aware trajectory generation model with differential privacy

Future Generation Computer Systems, 2023
Open Data Processing Services (ODPS) offers vast storage capacity and excellent efficiency, which collects and stores a lot of data. As an essential component of ODPS, location-based services (LBS) are widely used in many aspects. However, LBS generates tens of thousands trajectories, which have a significant likelihood of revealing personal ...
Jing Zhang 0040   +4 more
openaire   +3 more sources

Method of trajectory privacy protection based on restraining trajectory in LBS

International Journal of Information and Communication Technology, 2018
With the development of mobile positioning technology, location-based services are becoming more and more widely used in life, but it has produced the security problem of the user's privacy leakage. In this paper, the problem of user trajectory privacy protection in location-based services is introduced, and a method of trajectory privacy protection ...
Zemao Zhao   +4 more
openaire   +1 more source

Trajectory Privacy Protection Method Based on Differential Privacy in Crowdsensing

IEEE Transactions on Services Computing
Dong Xie, Chuanxin Zhao, Fulong Chen
exaly   +2 more sources

Protecting Privacy in Trajectories with a User-Centric Approach

ACM Transactions on Knowledge Discovery from Data, 2018
The increased use of location-aware devices, such as smartphones, generates a large amount of trajectory data. These data can be useful in several domains, like marketing, path modeling, localization of an epidemic focus, and so on. Nevertheless, since trajectory information contains personal mobility data, improper use or publication of trajectory ...
Cristina Romero-Tris, David Megías 0001
openaire   +1 more source

An Enhanced Method of Trajectory Privacy Preservation Through Trajectory Reconstruction

2017
Trajectory data of mobile users contain plenty of sensitive spatial and temporal information, and can support many applications through data analysing and mining. However, re-identification attack and inference attack on such data may cause serious personal privacy leakage.
Yan Dai 0001, Jie Shao 0001
openaire   +1 more source

Privacy and Security in Spatiotemporal Data and Trajectories

2008
The European directive 2002/58/EC requires providers of public communication networks and electronic communication services to adopt techniques to ensure data security and privacy. This directive states, among others, that the provider of a publicly available electronic communication service must take appropriate technical and organizational measures ...
V. Verykios   +2 more
openaire   +2 more sources

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