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Volumn 63, Issue 3, 2007, Pages 622-645

Thoughts on k-anonymization

Author keywords

Algorithms; Cost metrics; k Anonymity; Privacy

Indexed keywords

CLUSTERING ALGORITHMS; CORRELATION METHODS; DATA STRUCTURES; HIERARCHICAL SYSTEMS; METRIC SYSTEM;

EID: 34548689125     PISSN: 0169023X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.datak.2007.03.009     Document Type: Article
Times cited : (103)

References (25)
  • 1
    • 34250661905 scopus 로고    scopus 로고
    • G. Agrawal, T. Feder, K. Kenthapadi, S. Khuller, R. Panigrahy, D. Thomas, A. Zhu, Achieving anonymity via clustering, in: PODS '06: Proceedings of the 25th ACM SIGMOD-SIGACT-SIGART Symposium on Principles of database systems, Chicago, IL, USA, 2006.
  • 2
    • 34548683329 scopus 로고    scopus 로고
    • M. Atzori, Weak k-anonymity: A low-distortion model for protecting privacy, in: Some Conference in Europe, Hope It Will Fit, VLDB Endowment, 2005.
  • 3
    • 28444499680 scopus 로고    scopus 로고
    • K.W.B. Fung, P. Yu, Top-down specialization for information and privacy preservation, in: Proceedings of the 21st International Conference on Data Engineering, 2005.
  • 4
    • 28444449426 scopus 로고    scopus 로고
    • R. Bayardo, R. Agrawal, Data privacy through optimal k-anonymization, in: Proceedings of the 21st International Conference on Data Engineering, 2005.
  • 5
    • 34548695754 scopus 로고    scopus 로고
    • C. Blake, C. Merz, UCI Repository of Machine Learning Databases, 1998. URL .
  • 6
    • 26944448516 scopus 로고    scopus 로고
    • Ordinal, continuous and heterogeneous k-anonymity through microaggregation
    • Domingo-Ferrer J., and Torra V. Ordinal, continuous and heterogeneous k-anonymity through microaggregation. Data Min. Knowl. Discov. 11 2 (2005) 195-212
    • (2005) Data Min. Knowl. Discov. , vol.11 , Issue.2 , pp. 195-212
    • Domingo-Ferrer, J.1    Torra, V.2
  • 8
    • 34548696725 scopus 로고    scopus 로고
    • A. Hundepool, L. Willenborg, μ and t-argus: software for statistical disclosure control, in: Proceedings of the Third International Seminar on Statistical Confidentiality, 1996.
  • 9
    • 0242625276 scopus 로고    scopus 로고
    • V. Iyengar, Transforming data to satisfy privacy constraints, in: Proceedings of the Eighth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2002.
  • 10
    • 34548670153 scopus 로고    scopus 로고
    • W. Jiang, C. Clifton, Privacy-preserving distributed k-anonymity, in: Proceedings of the 19th Annual IFIP WG 11.3 Working Conference on Database and Applications Security, Storrs, CT, 2005.
  • 11
    • 36048997303 scopus 로고    scopus 로고
    • W. Jiang, C. Clifton, A secure distributed framework for achieving k-anonymity, The VLDB Journal [Special Issue on Privacy-Preserving Data Management] 15 (4) (2006) 316-333.
  • 13
    • 29844444250 scopus 로고    scopus 로고
    • K. LeFevre, D. DeWitt, R. Ramakrishnan, Incognito: Efficient full-domain k-anonymity, in: Proceedings of the 2005 ACM SIGMOD International Conference on Management of Data, Baltimore, MD, 2005.
  • 14
    • 33749606641 scopus 로고    scopus 로고
    • K. LeFevre, D.J. DeWitt, R. Ramakrishnan, Mondrian multidimensional k-anonymity, in: Proceedings of the 22nd International Conference on Data Engineering (ICDE '06), Atlanta, GA, (2006). URL .
  • 15
    • 34548805858 scopus 로고    scopus 로고
    • N. Li, T. Li, t-closeness: Privacy beyond k-anonymity and l-diversity, in: Proceedings of the 23nd International Conference on Data Engineering (ICDE '07), Istanbul, Turkey, 2007.
  • 16
    • 33749607006 scopus 로고    scopus 로고
    • A. Machanavajjhala, J. Gehrke, D. Kifer, M. Venkitasubramaniam, l-diversity: privacy beyond k-anonymity, in: Proceedings of the 22nd IEEE International Conference on Data Engineering (ICDE 2006), Atlanta, GA, 2006.
  • 18
    • 34548804367 scopus 로고    scopus 로고
    • M.E. Nergiz, C. Clifton, Multirelational k-anonymity, in: Proceedings of the 23nd International Conference on Data Engineering (ICDE '07), Istanbul, Turkey, 2007.
  • 23
    • 85146199877 scopus 로고    scopus 로고
    • X. Xiao, Y. Tao, Anatomy: Simple and effective privacy preservation, in: Proceedings of 32nd International Conference on Very Large Data Bases (VLDB 2006), Seoul, Korea, 2006. URL .


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.