A Study of Enhancing Privacy for Intelligent Transportation Systems: $k$ -Correlation Privacy Model Against Moving Preference Attacks for Location Trajectory Data-Reference-Cited by-同舟云学术

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A Study of Enhancing Privacy for Intelligent Transportation Systems: $k$ -Correlation Privacy Model Against Moving Preference Attacks for Location Trajectory Data

Published:2017 Issue: Volume:5 Page:24555-24567
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Sui Peipei^ORCID,Li Xianxian,Bai Yan

Funder

Natural Science Foundation of China

Guangxi Special Project of Science and Technology Base and Talents

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6287639/7859429/08089343.pdf?arnumber=8089343

Cited by 16 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

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2. Two-attribute privacy protection method of MCS based on blockchain smart contract;Computer Communications;2022-09

3. Privacy-Preserving Path-Planning for UAVs;2022 International Symposium on Networks, Computers and Communications (ISNCC);2022-07-19

4. Mitigation of Data Integrity Attacks using Blockchain-based Intelligent Transportation System;2021 26th IEEE Asia-Pacific Conference on Communications (APCC);2021-10-11

5. Privacy preserved spatio-temporal trajectory publication of Covid-19 patients;Journal of Location Based Services;2021-04-11

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