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Adding Noise Trajectory for Providing Privacy in Data Publishing by Vectorization
2020 IEEE International Conference on Big Data and Smart Computing (BigComp), 2020Since trajectory data is widely collected and utilized for scientific research and business purpose, publishing trajectory without proper privacy-policy leads to an acute threat to individual data. Recently, several methods, i.e., k-anonymity, l-diversity, t-closeness have been studied, though they tend to protect by reducing data depends on a feature ...
Rashid Tojiboev +2 more
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Achieving differential privacy of trajectory data publishing in participatory sensing
Information Sciences, 2017zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Meng Li, Zijian Zhang, Liehuang Zhu
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Suppression techniques for privacy-preserving trajectory data publishing
Knowledge-Based Systems, 2020Abstract In this paper, we study the problem of protecting privacy in trajectory datasets from adversaries who can exploit their partial knowledge to infer unknown locations. To efficiently solve this problem, we propose a tree-based indexing structure to store all trajectory data and develop pruning strategies.
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Real-Time Trajectory Data Publishing Method with Differential Privacy
2018 14th International Conference on Mobile Ad-Hoc and Sensor Networks (MSN), 2018With the increasing popularity of location technologies and location-based service applications, a large number of user's trajectory data have been collected. Publishing the real-time statistics data of trajectory streams can be useful in many fields such as intelligent transportation system, urban road planning and road congestion detection.
Fengyun Li +3 more
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Privacy Preservation for Trajectory Data Publishing and Heuristic Approach
2017With the increasing of location-aware devices, it is easy to collect the trajectory of a person which can be represented as a sequence of visited locations with regard to timestamps. The trajectory data publishing can be useful in real-life applications, such as location-based advertising, traffic management, and geo-marketing.
Nattapon Harnsamut, Juggapong Natwichai
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Novel trajectory data publishing method under differential privacy
Expert Systems with Applications, 2019Abstract The existing location-based services have collected a large amount of user trajectory data, and if these data are directly released without any processing, the user's personal privacy will be leaked. At present, differential privacy protection technology is favored by many scholars, but how to apply it reasonably to location-based services ...
Xiaodong Zhao, Yulan Dong, Dechang Pi
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Pseudonym exchange for privacy-preserving publishing of trajectory data set
2014 IEEE 3rd Global Conference on Consumer Electronics (GCCE), 2014Anonymization is a common technique for publishing a location data set in a privacy-preserving way. However, such an anonymized data set lacks trajectory information of users, which could be beneficial to many location-based analytic services. In this paper, we present a dynamic pseudonym scheme for constructing alternate possible paths of mobile users
Ken Mano +2 more
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UdpTrace: Utility-enhanced differential privacy scheme for trajectory data publishing
NeurocomputingGang Liang, Zhiwei Liang, Kui Zhao
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Knowledge-Based Systems, 2016
Abstract Trajectory data often provide useful information that can be used in real-life applications, such as traffic management, Geo-marketing, and location-based advertising. However, a trajectory database may contain detailed information about moving objects and associate them with sensitive attributes, such as disease, job, and income. Therefore,
Fatemeh Deldar
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Abstract Trajectory data often provide useful information that can be used in real-life applications, such as traffic management, Geo-marketing, and location-based advertising. However, a trajectory database may contain detailed information about moving objects and associate them with sensitive attributes, such as disease, job, and income. Therefore,
Fatemeh Deldar
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Privacy-Preserving Publishing of Pseudonym-Based Trajectory Location Data Set
2013 International Conference on Availability, Reliability and Security, 2013Anonymization is a common technique for publishing a location data set in a privacy-preserving way. However, such an anonymized data set lacks trajectory information of users, which could be beneficial to many location-based analytic services. In this paper, we present a dynamic pseudonym scheme for constructing alternate possible paths of mobile users
Ken Mano +2 more
openaire +1 more source