Novel trajectory privacy protection method against prediction attacks

Author:

Qiu Shuyuan,Pi Dechang,Wang Yanxue,Liu Yufei

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference33 articles.

1. Never Walk Alone: Uncertainty for Anonymity in Moving Objects Databases;Abul,2008

2. Geo-indistinguishability: Differential privacy for location-based systems;Andrés,2013

3. On the Security and Privacy Challenges of Virtual Assistants;Bolton;Sensors,2021

4. Secure and resilient communications in the industrial internet;Borhani,2020

5. A Predictive Differentially-Private Mechanism for Mobility Traces;Chatzikokolakis,2014

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1. A trajectory privacy protection method using cached candidate result sets;Journal of Parallel and Distributed Computing;2024-11

2. CL-AP2: A composite learning approach to attack prediction via attack portraying;Journal of Network and Computer Applications;2024-10

3. BiGRU-DP: Improved differential privacy protection method for trajectory data publishing;Expert Systems with Applications;2024-10

4. Protecting privacy and enhancing utility: A novel approach for personalized trajectory data publishing using noisy prefix tree;Computers & Security;2024-09

5. Trajectory privacy preserving method for transmission resources;International Conference on Computer Network Security and Software Engineering (CNSSE 2024);2024-06-06

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