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Protecting Privacy-Sensitive Locations in Trajectories with Correlated Positions
2019 IEEE Global Communications Conference (GLOBECOM), 2019The location privacy issue has become a critical research topic recently. The existing solutions do not solve one typical problem in practice: people may only want to protect certain privacy-sensitive locations among a group of temporal and spatial correlated points in a trajectory.
Bo Liu 0001 +5 more
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Trajectory Privacy Protection Scheme for Different Travel Modes
2021The problem of trajectory privacy is getting more attention in recent years. It is unreasonable to adopt the same privacy protection scheme in diversified travel modes, since the trajectories have different constraints under different travel modes.
Yanzi Li +3 more
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User Relationship Privacy Protection on Trajectory Data
2019Various mobile devices facilitate the users’ life, but the issues are brought into privacy focus by the individuals. This paper aims at the protection of intimate relationships among users. We consider the intimacy of user relationships based on similar sub-trajectories between the users. Then, we propose a \(k_{mn}\)-anonymity protection model.
Zi Yang, Mingda Yang, Bo Ning 0002
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Trajectory Privacy Protection Based on Location Semantic Perception
International Journal of Cooperative Information Systems, 2019A 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
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Trajectory privacy protection method based on the time interval divided
Computers and Security, 2018Abstract Trajectory data often provides information that is well applicable to real-world scenarios such as traffic planning and location-based advertising. Individual trajectory information may disclose sensitive personal data, thus necessitating privacy protection methods.
Zhaowei Hu, Jianpei Zhang
exaly +2 more sources
Privacy-protected social media user trajectories calibration
2016 IEEE 12th International Conference on e-Science (e-Science), 2016Advanced 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
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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, 2014With 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
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Hierarchical interpolation point anonymity for trajectory privacy protection
Intelligent Data Analysis, 2019The 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
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Protecting Semantic Trajectory Privacy for VANET with Reinforcement Learning
ICC 2019 - 2019 IEEE International Conference on Communications (ICC), 2019Location-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
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A Novel Dummy-Based Mechanism to Protect Privacy on Trajectories
2014 IEEE International Conference on Data Mining Workshop, 2014In 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
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