The Journal of the Korea Contents Association (한국콘텐츠학회논문지)

The Korea Contents Association (한국콘텐츠학회)
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Direction Presentation of Design on Privacy Preserving Mechanism for Location-Sharing Based Services

위치공유기반 서비스의 프라이버시 보호 방안의 설계 방향 제시

  • 김미희 (한경대학교 컴퓨터웹정보공학과)
  • Received : 2015.01.29
  • Accepted : 2015.02.10
  • Published : 2015.02.28
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Abstract

Location-sharing based service (LSBS) refers to a service that users share their location information with other users with whom friendship. At this time, the location information is shared through service provider, and then their position information is exposed to the service provider. The exposure of this personal position information to the service provider has raised a privacy problem, and thus privacy preserving mechanisms have been proposed to protect them. In this paper, we examine the types and features of the proposed location-sharing based services so far, and survey the research trend of privacy preserving mechanisms for them. Through the analysis on existing privacy preserving mechanisms, we present design factors for a privacy preserving mechanism for the current LSBS services, and suggest future work.

위치공유기반 서비스(Location-sharing based service)는 사용자가 친구관계를 맺고 있는 다른 사용자와 자신의 위치정보를 공유하는 서비스를 일컫는다. 이 때, 이 위치정보는 서비스 제공자(SP, Service Provider)를 통해 공유되며, 자신의 위치정보는 서비스 제공자에게 노출되게 된다. 이로써 개인의 위치정보가 SP에게 노출되는 프라이버시 문제가 제기되어 왔고, 이를 보호하기 위한 메커니즘들이 제안되었다. 본 논문에서는 위치공유기반 서비스의 종류와 그 특징을 살펴보고, 이를 위한 프라이버시 보호 메커니즘들의 연구 동향을 조사한다. 조사된 기존 메커니즘 분석을 통해, 현 서비스에 적합한 프라이버시 메커니즘 설계 방향 및 향후 연구 방향을 제언한다.

Keywords

References

  1. 페이스북 체크인하면 무료 와이파이 이용한다, http://mushman.co.kr/m/post/2692019
  2. 소셜위치기반 서비스 포스퀘어(Foursquare), http://cafe.naver.com/koreahrdacademy/1971
  3. 스마트폰용 위치공유 앱 '카카오디' 출시, http://www.asiatoday.co.kr/view.php?key=20141224010014442
  4. A. Lewko, A. Sahai, and B. Waters, "Revocation systems with very small private keys," IEEE Security and Privacy (SP) Symposium, pp.273-285, 2010.
  5. B. Libert, K.Paterson, and E. Quaglia, "Anonymous broadcast encryption: adaptive security and effcient constructions in the standard model," Public Key Cryptography, pp.206-224, 2012.
  6. M. Gruteser and D. Grunwald, "Anonymous Usage of Location-Based Services Through Spatial and Temporal Cloaking," ACM. MobiSys, pp.31-42, 2003.
  7. C. Dong and N. Dulay. "Longitude: A privacy-preserving location sharing protocol for mobile applications," Trust Management of IFIP Advances in Information and Communication Technology, Vol.358 pp.133-148, Springer Berlin Heidelberg, 2011. https://doi.org/10.1007/978-3-642-22200-9_12
  8. I. Bilogrevic, M.Jadliwala, K. Kalkan, J. Hubaux, and I. Aad, "Privacy in Mobile Computing for Location-Sharing-Based Services," Privacy Enhancing Technologies, Lecture Notes in Computer Science, Vol.6794, pp.77-96, 2011.
  9. A. Narayanan, N. Thiagarajan, M. Lakhani, M. Hamburg, and D. Boneh, "Location Privacy via Private Proximity Testing," NDSS, 2011.
  10. E. D. Cristofaro, A. Durussel, and I. Aad, "Reclaiming Privacy for Smartphone Applications," PerCom, 2011.
  11. S. Pidcock and U. Hengartner, "Zerosquare: A Privacy-Friendly Location Hub for Geosocial Applications," IEEE CS Security and Privacy Workshop, 2013(5).
  12. X. Zhao, L. Li, and G. Xue, "Checking in without worries: Location privacy in location based social networks," IEEE INFOCOM, pp.3003-3011, 2013(4).
  13. R. Lu, X. Lin, Z. Shi, and J. Shao, "PLAM: A privacy-preserving framework for local-area mobile social networks," IEEE INFOCOM, pp.763-771, 2014(4-5).
  14. M. Herrmann, A. Rial, C. Diaz, and B. Preneel, "Practical privacy-preserving location-sharing based services with aggregate statistics," ACM WiSec, pp.87-98, 2014(7).
  15. 임홍택, 포스퀘어 스토리: 쇼셜미디어를 넘어 위치기반 플랫폼으로, e비즈북스, 2011.
  16. 구글, 친구 위치정보 서비스 '래티튜드' 발표, http://www.zdnet.co.kr/news/news_view.asp?artice_id=20090205090146&type=det
  17. 오수현, 곽진, "위치기반 서비스의 프라이버시 위협 요소 분석 및 보안 대책에 관한 연구", 한국항행학회논문지, 제13권, 제2호, 통권 제35호, pp.272-279, 2009.
  18. A. R. Beresford and F. Stajano, "Mix Zones: User Privacy in Location-aware Services," PERCOMW, 2004.
  19. J. Krumm, "Inference attacks on location tracks," Pervasive Computing, LNCS, Vol.4480, pp.127-143, 2007.
  20. K. P. N. Puttaswamy, S. Wang, T. Steinbauer, D. Agrawal, A. Abbadi, C. Kruegel, and B. Y. Zhao, "Preserving location privacy in geosocial applications," IEEE Transactions on Mobile Computing, Vol.13, No.1, pp.159-173, 2014(1). https://doi.org/10.1109/TMC.2012.247
  21. Average number of Facebook friends of U.S. users in 2014, http://www.statista.com/statistics/232499/americans-who-use-social-networking-sites-several-times-per-day/