Protecting Location Privacy Based on Historical Users over Road Networks

2014 ◽  
pp. 347-355
Author(s):  
Qilong Han ◽  
Hongbin Zhao ◽  
Zhiqiang Ma ◽  
Kejia Zhang ◽  
Haiwei Pan
Keyword(s):  
Location Privacy ◽  
Road Networks

POSTER: Protecting Location Privacy on Road Networks

2020 ◽  
Author(s):  
Shun Takagi ◽  
Yang Cao ◽  
Yasuhito Asano ◽  
Masatoshi Yoshikawa
Keyword(s):  
Location Privacy ◽  
Road Networks

scholarly journals Retraction Note to: Location Privacy with Dynamic Pseudonym-Based Multiple Mix-Zones Generation over Road Networks

2019 ◽  
Vol 107 (1) ◽  
pp. 707-707
Author(s):  
Qasim Ali Arain ◽  
ZhongLiang Deng ◽  
Imran Memon ◽  
Asma Zubedi ◽  
Farman Ali Mangi
Keyword(s):  
Location Privacy ◽  
Road Networks

scholarly journals Continuous Anonymity with Users in the Same Direction in Road Networks

2018 ◽  
Vol 220 ◽  
pp. 10001
Author(s):  
Yu Lili ◽  
Zhang Lei ◽  
Su Xiaoguang ◽  
Li Jing ◽  
Zhang Xu ◽  
...  
Keyword(s):  
Euclidean Space ◽  
Privacy Protection ◽  
Road Network ◽  
Location Privacy ◽  
Road Networks ◽  
The Road ◽  
Shortest Distance ◽  
Location Privacy Protection ◽  
Road Segments

Compared with the Euclidean space, road network is restricted by its direction in traveling, velocity and some other attribute profiles. So the algorithms that designed for the Euclidean space are usually invalid and difficult to provide privacy protection services. In order to cope with this problem, we have proposed an algorithm to provide the service of collecting anonymous users that their directions in traveling similar with the initiator in the road networks. In this algorithm, the shortest distance between multiple road segments is calculated, and then utilizes the distance to select the user who has the same direction in traveling with the initiator. Consequently, the problem of the discrepancy of the anonymous users in the routing that invalidates the location privacy protection is solved. At last, we had compared this algorithm with other similar algorithms, and through the results of the comparison and the cause of this phenomenon, we have concluded that this algorithm is better not only in the level of privacy protection, but in the performance of execution efficiency.

Semantic-Aware Location Privacy Preservation on Road Networks

2016 ◽  
pp. 314-331 ◽  
Author(s):  
Yanhui Li ◽  
Ye Yuan ◽  
Guoren Wang ◽  
Lei Chen ◽  
Jiajia Li
Keyword(s):  
Privacy Preservation ◽  
Location Privacy ◽  
Road Networks

Location monitoring approach: multiple mix-zones with location privacy protection based on traffic flow over road networks

2017 ◽  
Vol 77 (5) ◽  
pp. 5563-5607 ◽  
Author(s):  
Qasim Ali Arain ◽  
Imran Memon ◽  
Zhongliang Deng ◽  
Muhammad Hammad Memon ◽  
Farman Ali Mangi ◽  
...  
Keyword(s):  
Traffic Flow ◽  
Privacy Protection ◽  
Location Privacy ◽  
Road Networks ◽  
Location Privacy Protection
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