Enhanced Location K-anonymity Privacy Protection Scheme Based on Geohash
With the wide application of LBS,location privacy protection is imperative.In recent years,location k-anonymity solu-tion has become a research hotpot which is widely used.However,k-anonymity schemes are vulnerable to background knowledge attacks.Although some scholars have considered location-related information to varying degrees,they are not comprehensive,and the current form in the anonymous scheme are relatively time-consuming.Based on this,in order to resist background knowledge attacks from adversaries,enhanced location k-anonymity scheme is proposed,which fully considers the semantic information,time attributes,query probability and query semantics related to physical location when constructing anonymous areas.When the loca-tion point is selected,it is necessary to ensure that the selected location is relatively scattered.In order to reduce the time con-sumption of anonymous area construction,Geohash is used to encode the location information.Finally,experiments on real data sets show that the proposed scheme can provide better location privacy protection.
GeohashEnhanced location k-anonymityLocation based servicesLocation privacyLocation semanticQuery proba-bilityTime attribute
万方数据
维普
