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
키워드
Location Based Services(LBS)location privacyk-anonymity methodpseudonym method
저자
Yang Yang [ Department of Information Technology, Nanjing Radio and TV University, Nanjing City Vocational College, Nanjing, Jiangsu 210002, China ]
보안공학연구지원센터(IJSIA) [Science & Engineering Research Support Center, Republic of Korea(IJSIA)]
설립연도
2006
분야
공학>컴퓨터학
소개
1. 보안공학에 대한 각종 조사 및 연구
2. 보안공학에 대한 응용기술 연구 및 발표
3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최
4. 보안공학 기술의 상호 협조 및 정보교환
5. 보안공학에 관한 표준화 사업 및 규격의 제정
6. 보안공학에 관한 산학연 협동의 증진
7. 국제적 학술 교류 및 기술 협력
8. 보안공학에 관한 논문지 발간
9. 기타 본 회 목적 달성에 필요한 사업
간행물
간행물명
International Journal of Security and Its Applications
간기
격월간
pISSN
1738-9976
수록기간
2008~2016
등재여부
SCOPUS
십진분류
KDC 505DDC 605
이 권호 내 다른 논문 / International Journal of Security and Its Applications Vol.9 No.4