원문정보
보안공학연구지원센터(IJSIA)
International Journal of Security and Its Applications
Vol.9 No.4
2015.04
pp.25-32
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
In Augmented Reality (AR), users’ main concern includes privacy and safety of data. Since location based services(LBS) are one of the major applications of the AR, it is important to have a privacy-aware management of location information, providing location privacy for clients against vulnerabilities or abuse. Here we analyzed the merit and demerit of exiting location privacy protection method. Then a perceived K-value location privacy protection method was raised. Hereafter the protocol of this algorithm was described and simulated in detail. The results demonstrated this method can effectively realize the location privacy protection.
목차
Abstract
1. Introduction
2. Way of Location Privacy Leak
3. Related Works
4. Comparison of the Existing Location Privacy Protection Method
4.1 Pseudo-location Method
4.2 Pseudonym Method
4.3 k-anonymity Method
4.4 Other Methods based on the k-anonymity Method
4.5 Personalized k-anonymity Method
5. Perceived K-value Location Privacy Protection Method
5.1 The Analysis of Location Privacy Protection Level
5.2 Algorithms and Procedure
5.3 Experiment Simulation and Analysis of Algorithm Efficiency
6. Conclusion
Acknowledgments
References
1. Introduction
2. Way of Location Privacy Leak
3. Related Works
4. Comparison of the Existing Location Privacy Protection Method
4.1 Pseudo-location Method
4.2 Pseudonym Method
4.3 k-anonymity Method
4.4 Other Methods based on the k-anonymity Method
4.5 Personalized k-anonymity Method
5. Perceived K-value Location Privacy Protection Method
5.1 The Analysis of Location Privacy Protection Level
5.2 Algorithms and Procedure
5.3 Experiment Simulation and Analysis of Algorithm Efficiency
6. Conclusion
Acknowledgments
References
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