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Trajectory Privacy Protection Based on Location Semantic Perception

International Journal of Cooperative Information Systems, 2019
A personalized trajectory privacy protection method based on location semantic perception to achieve the personalized goal of privacy protection parameter setting and policy selection is proposed. The concept of user perception is introduced and a set of security samples that the user feels safe and has no risk of privacy leakage is set by the user’s ...
Zhaowei Hu, Jing Yang
openaire   +1 more source

Privacy-protected social media user trajectories calibration

2016 IEEE 12th International Conference on e-Science (e-Science), 2016
Advanced data analytics have become an integral part of a number of eScience initiatives including the many challenges facing the urban sciences. Understanding the movement of people and their spatial trajectorits would greatly aid the development of policies for sustainable urban living including urban traffic analysis and smart city management.
Shuo Wang 0012   +2 more
openaire   +2 more sources

Historical Trajectories Based Location Privacy Protection Query

2014 IEEE 11th Intl Conf on Ubiquitous Intelligence and Computing and 2014 IEEE 11th Intl Conf on Autonomic and Trusted Computing and 2014 IEEE 14th Intl Conf on Scalable Computing and Communications and Its Associated Workshops, 2014
With the wide adoption of intelligent mobile phone with global positioning functionalities, location based services (LBS) are more and more popular. Location privacy becomes an important issue. The current methods on privacy protection can be classified into the following folds: privacy preserving LBS query in a real time manner, privacy protection on ...
Liu Cao, Yuqing Sun 0001, Haoran Xu 0001
openaire   +1 more source

A Novel Dummy-Based Mechanism to Protect Privacy on Trajectories

2014 IEEE International Conference on Data Mining Workshop, 2014
In recent years, wireless communication technologies and accurate positioning devices enable us to enjoy various types of location-based services. However, revealing users location information to potentially untrusted LBS providers is one of the most significant privacy threats in location-based services.
Xichen Wu, Guangzhong Sun
openaire   +1 more source

Hierarchical interpolation point anonymity for trajectory privacy protection

Intelligent Data Analysis, 2019
The traditional trajectory privacy protection algorithm approaches the task as a single-layer problem. Taking a perspective in harmony with an approach more characteristic of human thinking, in which complex problems are solved hierarchically, we propose a two-level hierarchical granularity model for this problem.
Xiaohan Wang   +3 more
openaire   +1 more source

Protecting Semantic Trajectory Privacy for VANET with Reinforcement Learning

ICC 2019 - 2019 IEEE International Conference on Communications (ICC), 2019
Location-based services in vehicular ad hoc networks (VANETs) have to protect user privacy and address the challenge due to the disclosure of the vehicle movement trajectory. In this paper, we propose an reinforcement learning (RL) based differential privacy mechanism that randomizes the released vehicle locations to protect the semantic trajectory of ...
Weihang Wang 0001   +4 more
openaire   +1 more source

Towards Location and Trajectory Privacy Protection in Participatory Sensing

2012
The ubiquity of mobile devices has facilitated the prevalence of participatory sensing, whereby ordinary citizens using their private mobile devices to collect regional information and share with participators. However, such applications may endanger users’ privacy by revealing their locations and trajectories information.
Sheng Gao 0002   +3 more
openaire   +1 more source

Differential Privacy Trajectory Protection Method Based on Spatiotemporal Correlation

2020
Location-based services provide service and convenience, while causing the leakage of track privacy. The existing trajectory privacy protection methods lack the consideration of the correlation between the noise sequence, the user’s original trajectory sequence, and the published trajectory sequence.
Kangkang Dou, Jian Liu
openaire   +1 more source

Trajectory Privacy Protection Method based on Shadow vehicles

2021 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom), 2021
Yaqiong Ma   +2 more
openaire   +2 more sources

Trajectory Privacy Protection Method Based on Sensitivity Analysis

Proceedings of the 2023 7th International Conference on Electronic Information Technology and Computer Engineering, 2023
Shu Gao, Wenfen Liu, Yongcan Lu
openaire   +2 more sources

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