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Privacy of Spatial Trajectories
2011The ubiquity of mobile devices with global positioning functionality (e.g., GPS and Assisted GPS) and Internet connectivity (e.g., 3G and Wi-Fi) has resulted in widespread development of location-based services (LBS). Typical examples of LBS include local business search, e-marketing, social networking, and automotive traffic monitoring.
Chi-Yin Chow, Mohemad F. Mokbel
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Trajectory Privacy Protection on Spatial Streaming Data with Differential Privacy
2018 IEEE Global Communications Conference (GLOBECOM), 2018Continuously 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
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DP-TrajGAN: A privacy-aware trajectory generation model with differential privacy
Future Generation Computer Systems, 2023Open 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
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Personalized semantic trajectory privacy preservation through trajectory reconstruction
World Wide Web, 2017Trajectory data gathered by mobile positioning techniques and location-aware devices contain plenty of sensitive spatial-temporal and semantic information, and can support many applications through data analysing and mining. However, attribute-linkage and re-identification attacks on such data may cause privacy leakage, and lead to unexpected serious ...
Yan Dai 0001 +4 more
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An Efficient Method on Trajectory Privacy Preservation
2015Traditional 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
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Trajectory Privacy Protection Method Based on Differential Privacy in Crowdsensing
IEEE Transactions on Services ComputingTaochun Wang, Yuan Tao, Fulong Chen
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Protecting Privacy in Trajectories with a User-Centric Approach
ACM Transactions on Knowledge Discovery from Data, 2018The 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
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Method of trajectory privacy protection based on restraining trajectory in LBS
International Journal of Information and Communication Technology, 2018With 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
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Efficient Privacy-Preserving Approaches for Trajectory Datasets
2020 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech), 2020The use of credit cards or RFID cards for transaction payment has become ubiquitous in recent years. This transactional data is stored in the form of a trajectory, including a sequence of locations at which the customer used the credit card. Such datasets are sensitive since they store customer’s locations and purchasing patterns.
Md Yeakub Hassan +4 more
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2010
In this era of significant advances in telecommunications and GPS sensors technology, a person can be tracked down to proximity of less than 5 meters. This remarkable progress enabled the offering of services that depend on user location (the so-called location-based services—LBSs), as well as the existence of applications that analyze movement data ...
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In this era of significant advances in telecommunications and GPS sensors technology, a person can be tracked down to proximity of less than 5 meters. This remarkable progress enabled the offering of services that depend on user location (the so-called location-based services—LBSs), as well as the existence of applications that analyze movement data ...
openaire +1 more source