A Location Privacy Preserving Model based on Geohash

EasyChair Preprint no. 1249

Abstract

With the rapid development of location-aware mobile devices, location-based services have been widely used.When LBS (Location Based Services) bringing great convenience and profits, it also brings great hidden trouble, among which user privacy security is one of them.The paper builds a LBS privacy protection model and develops algorithm depend on the technology of one dimensional coding of geohash geographic information. The results of experiments and data measurements show that the model has good performance in avoiding attacking from the leaked information in a continuous query with the user's background knowledge.With the rapid development of location-aware mobile devices, location-based services have been widely used.When LBS (Location Based Services) bringing great convenience and profits, it also brings great hidden trouble, among which user privacy security is one of them.The paper builds a LBS privacy protection model and develops algorithm depend on the technology of one dimensional coding of geohash geographic information. The results of experiments and data measurements show that the model has good performance in avoiding attacking from the leaked information in a continuous query with the user's background knowledge.

Keyphrases: Geohash coding, k-anonymity, location-based service, Privacy protection model

@Booklet{EasyChair:1249,
  author = {Wei Xiang},
  title = {A Location Privacy Preserving Model based on Geohash},
  howpublished = {EasyChair Preprint no. 1249},

  year = {EasyChair, 2019}}