Preserving Location Privacy for Continuous Queries on Known Route

2011 ◽  
pp. 265-279 ◽  
Author(s):  
Anuj S. Saxena ◽  
Mayank Pundir ◽  
Vikram Goyal ◽  
Debajyoti Bera
Keyword(s):  
Location Privacy ◽  
Continuous Queries

A Framework for Preserving Location Privacy for Continuous Queries

2019 ◽  
pp. 819-832 ◽  
Author(s):  
Raed Saeed Al-Dhubhani ◽  
Jonathan Cazalas ◽  
Rashid Mehmood ◽  
Iyad Katib ◽  
Faisal Saeed
Keyword(s):  
Location Privacy ◽  
Continuous Queries

Improvement of K-Anonymity Location Privacy Protection Algorithm Based on Hierarchy Clustering

2014 ◽  
Vol 599-601 ◽  
pp. 1553-1557 ◽  
Author(s):  
Zhi Qiang He ◽  
Gang Chen
Keyword(s):  
Privacy Protection ◽  
Location Privacy ◽  
Clustering Algorithm ◽  
Continuous Queries ◽  
Security Level ◽  
Location Based Service ◽  
K Value ◽  
Location Privacy Protection

The k anonymity was one of the first algorithms applied for privacy protection in location-based service(LBS).The k anonymity exhibits its disadvantages gradually, such as being easily attacked by continuous queries attacking algorithm, the larger k value for higher security level lead to more pointless cost of bandwidth and load of LBS server. This article analyzes the causes of the problems, and proposes a new idea based on clustering algorithm to improve the k anonymity algorithm.

Subspace k-anonymity algorithm for location-privacy preservation based on locality-sensitive hashing

2019 ◽  
Vol 23 (5) ◽  
pp. 1167-1185
Author(s):  
Xiaohan Wang ◽  
Yonglong Luo ◽  
Shiyang Liu ◽  
Taochun Wang ◽  
Huihui Han
Keyword(s):  
Privacy Preservation ◽  
Location Privacy ◽  
Locality Sensitive Hashing
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