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Volumn , Issue , 2012, Pages

The impact of trace and adversary models on location privacy provided by K-anonymity

Author keywords

adversary; location privacy; user traces

Indexed keywords

ADVERSARY; ADVERSARY MODELS; CIRCULAR SHAPE; K-ANONYMITY; LOCATION PRIVACY; PRIVACY PRESERVING; TRACE MODELS; USER TRACE; USERS' MOBILITY;

EID: 84860731130     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2181196.2181202     Document Type: Conference Paper
Times cited : (1)

References (13)
  • 1
    • 84860737768 scopus 로고    scopus 로고
    • Retrieved March 15, 2012, from
    • AroundMe. Retrieved March 15, 2012, from http://www.tweakersoft.com/ aroundme.html.
    • AroundMe
  • 3
    • 27944454864 scopus 로고    scopus 로고
    • Location privacy in mobile systems: A personalized anonymization model
    • IEEE Computer Society
    • B. Gedik and L. Liu. Location privacy in mobile systems: A personalized anonymization model. In Proceedings of ICDCS '05, Washington, DC, USA, 2005. IEEE Computer Society.
    • Proceedings of ICDCS '05, Washington, DC, USA, 2005
    • Gedik, B.1    Liu, L.2
  • 7
    • 11244341722 scopus 로고    scopus 로고
    • Learning and inferring transportation routines
    • AAAI Press
    • L. Liao, D. Fox, and H. Kautz. Learning and inferring transportation routines. In Proc. of AAAI'04. AAAI Press, 2004.
    • (2004) Proc. of AAAI'04
    • Liao, L.1    Fox, D.2    Kautz, H.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.