Journal of System Simulation ›› 2015, Vol. 27 ›› Issue (1): 98-103.

Previous Articles     Next Articles

Simulation Research of Adaptive K Value Location Privacy Protection in Augmented Reality

Yang Yang1, Wang Ruchuan2,3   

  1. 1. Department of Information Technology, Nanjing City Vocational College, Nanjing Radio and TV University, Nanjing 210002, China;
    2. College of Computer, Nanjing University of Posts and Telecommunications, Nanjing 210003, China;
    3. Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks, Nanjing 210003, China
  • Received:2013-04-18 Revised:2014-02-19 Published:2020-09-02

Abstract: With the development of wireless communication and augmented reality technology, the application of LBS is wide. It provides enormous convenience to people life. It may obtain user location information at anytime and anywhere. So user location privacy safety suffers huge threats. Therefore, data safety is worth paying attention in LBS. The advantages and disadvantages of the existing location privacy protection methods in LBS were analyzed, and adaptive K value location privacy protection method was proposed according to different privacy level. This method used k-anonymity method and pseudonym method hand in hand. It used trusted third party as location privacy protection architecture, and K value changed adaptive according to privacy level. Therefore, this method effectively protected location privacy.

Key words: location based services (LBS), location privacy, k-anonymity method, pseudonym method, trusted third party

CLC Number: