Research on Association Rules Mining of Spatial-Temporal K-Anonymity Dataset
Liang Xu · Geography and Geo-Information Science · 2012
With the development of Location-Based Services system(LBS),people are going to pay more and more attention to privacy protection of LBS.Then,privacy protection of LBS is becoming a hotspot topic in GIS and mobile communication domains.Although a series of LBS privacy protection methods have been proposed,they may not resist attacks based on data mining techniques.In this paper,this problem was verified by designing the method of mining association rules from spatial-temporal K-anonymity datasets and analyzing attack scenarios based on the rules by experiments.Finally,a solution that resists those attacks by designing optimal spatial-temporal K-anonymity approach was put forward,which could analyze privacy sensitive association rules in LBS that trusted servers before what LBS application servers do.