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OPTDP: Towards optimal personalized trajectory differential privacy for trajectory data publishing
Neurocomputing, 2022Abstract With the development of location-based applications, more and more trajectory data are collected. Trajectory data often contains users’ sensitive information, and direct release it may pose a threat to users’ privacy. Differential privacy, as a privacy preserving method with solid mathematical foundation, has been widely used in trajectory ...
Haojun Huang, Wang Miao, Ruxue Wen
exaly +3 more sources
Personalized Privacy-Preserving Trajectory Data Publishing
Chinese Journal of Electronics, 2017Due to the popularity of mobile internet and location-aware devices, there is an explosion of location and trajectory data of moving objects. A few proposals have been proposed for privacy preserving trajectory data publishing, and most of them assume the attacks with the same adversarial background knowledge.
Yan Xiong, Qiwei Lu, Wenchao Huang
exaly +2 more sources
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
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
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