Results 231 to 240 of about 10,576,430 (264)
Privacy Risks in Trajectory Data Publishing: Reconstructing Private Trajectories from Continuous Properties [PDF]
, 2008 Location and time information about individuals can be captured through GPS devices, GSM phones, RFID tag readers, and by other similar means. Such data can be pre-processed to obtain trajectories which are sequences of spatio-temporal data points belonging to a moving object. Recently, advanced data mining techniques have been developed for extracting
Kaplan, Emre +3 more
openaire +2 more sources
Some of the next articles are maybe not open access.
Related searches:
Related searches:
A Scheme for Activity Trajectory Dataset Publishing with Privacy Preserved
2015 IEEE 12th Intl Conf on Ubiquitous Intelligence and Computing and 2015 IEEE 12th Intl Conf on Autonomic and Trusted Computing and 2015 IEEE 15th Intl Conf on Scalable Computing and Communications and Its Associated Workshops (UIC-ATC-ScalCom), 2015Facilitated by ubiquitous computing techniques and the wide development of location-based service (LBS) and smart card systems, users' trajectory data, which is usually attached with user activities, are recorded more and more easily. Inappropriate publishing these trajectory data may jeopardize users' privacy.
Xianming Li, Shen Wei, Guangzhong Sun
openaire +1 more source
STDP: Secure Privacy-Preserving Trajectory Data Publishing
2018 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData), 2018As the smart devices and cloud services are rapidly expanding, a large amount of location information can easily be gathered. However, there is a conflict between collecting location information and protecting personal information since obtaining and utilizing the information may be restricted due to privacy concerns. In fact, various methods which use
Chris Soo-Hyun Eom +2 more
openaire +2 more sources
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.
openaire +1 more source
SLAT: Sub-Trajectory Linkage Attack Tolerance Framework for Privacy-Preserving Trajectory Publishing
2018 International Conference on Networking and Network Applications (NaNA), 2018The pervasiveness of location-aware devices offers terrific opportunities for analyzing and mining human mobility. Yet, sharing of trajectory data poses personal privacy issues. Consider a dataset of trajectories, containing detailed movement information about individuals, published with sensitive attributes such as disease, income, etc.
Xiangwen Liu +2 more
openaire +1 more source
Privacy Preserving Trajectory Data Publishing with Personalized Differential Privacy
2020 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom), 2020With the development of location-based applications, more and more trajectory data are collected and applied. Trajectory data often contains user's sensitive information, and direct release may pose a threat to users' privacy. Differential privacy, as a privacy preserving method with solid mathematical foundation, has been widely used in trajectory ...
Ruxue Wen +4 more
openaire +2 more sources
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
openaire +1 more source
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
openaire +2 more sources
The shape of the literary career: an analysis of publishing trajectories
Poetics, 2002Abstract In this article we present the results of an analysis of the publishing trajectories of the 1048 writers included in three debut cohorts (1940, 1955 and 1970). We define a publishing trajectory as the chronological series of published book-length works with basic bibliographical data for each work.
Bo G. Ekelund, Mikael Börjesson
openaire +1 more source
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
openaire +1 more source