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Volumn 35, Issue 3, 2010, Pages

Privacy-aware location data publishing

Author keywords

Algorithms; Experimentation; Theory

Indexed keywords

APPROXIMATE ALGORITHMS; DATA SETS; HARMONIC NUMBER; K-ANONYMITY; LOCATION DATA; MATHEMATICAL ANALYSIS; ORDERS OF MAGNITUDE; PRUNING TECHNIQUES; USER LOCATION;

EID: 77955179024     PISSN: 03625915     EISSN: 15574644     Source Type: Journal    
DOI: 10.1145/1806907.1806910     Document Type: Article
Times cited : (53)

References (24)
  • 2
    • 0036606530 scopus 로고    scopus 로고
    • A framework for generating network-based moving objects
    • BRINKHOFF, T. 2002. A framework for generating network-based moving objects. Geoinformatica 6, 2, 153-180
    • (2002) Geoinformatica , vol.6 , Issue.2 , pp. 153-180
    • Brinkhoff, T.1
  • 7
    • 36549043405 scopus 로고    scopus 로고
    • Protecting location privacy with personalized k-anonymity: Architecture and algorithms
    • GEDIK, B. AND LIU, L. 2008. Protecting location privacy with personalized k-anonymity: Architecture and algorithms. IEEE Trans. Mobile Comput. 7, 1, 1-18
    • (2008) IEEE Trans. Mobile Comput. , vol.7 , Issue.1 , pp. 1-18
    • Gedik, B.1    Liu, L.2
  • 19
    • 0035517699 scopus 로고    scopus 로고
    • Protecting respondents privacy in microdata release
    • SAMARATI, P. 2001. Protecting respondents privacy in microdata release. IEEE Trans. Knowl Data Engin. 13, 6, 1010-1027
    • (2001) IEEE Trans. Knowl Data Engin. , vol.13 , Issue.6 , pp. 1010-1027
    • Samarati, P.1
  • 20
    • 0036811143 scopus 로고    scopus 로고
    • Achieving k-anonymity privacy protection using generalization and suppression
    • SWEENEY, L. 2002. Achieving k-anonymity privacy protection using generalization and suppression Int. J. Uncertainty, Fuzz. Knowl.-based Syst. 10, 5, 571-588
    • (2002) Int. J. Uncertainty, Fuzz. Knowl.-based Syst. , vol.10 , Issue.5 , pp. 571-588
    • Sweeney, L.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.