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Volumn 1, Issue 1, 2005, Pages 46-51

Privacy preserving K-nearest neighbor classification

Author keywords

K nearest neighbor classifier; Privacy; Security

Indexed keywords

ATTRIBUTE SETS; K-NEAREST NEIGHBOR CLASSIFICATION; K-NEAREST NEIGHBOR CLASSIFIER; PRIVACY PRESERVING; PRIVATE DATA; SECURE PROTOCOLS; SECURITY;

EID: 45249105634     PISSN: 1816353X     EISSN: 18163548     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (54)

References (14)
  • 1
    • 35048875418 scopus 로고    scopus 로고
    • Secure computation of the K th-ranked element
    • G. Aggarwal, N. Mishra, and B. Pinkas, "Secure computation of the K th-ranked element," EU-ROCRYPT pp 40-55, 2004.
    • (2004) EU-ROCRYPT , pp. 40-55
    • Aggarwal, G.1    Mishra, N.2    Pinkas, B.3
  • 5
    • 35048856104 scopus 로고    scopus 로고
    • Privacy-preserving datamining on vertically partitioned databases
    • C. Dwork and K. Nissim, "Privacy-preserving datamining on vertically partitioned databases," CRYPTO 2004 528-544.
    • (2004) CRYPTO , pp. 528-544
    • Dwork, C.1    Nissim, K.2
  • 8
    • 84974555530 scopus 로고    scopus 로고
    • Privacy preserving data mining Advances in Cryptology - Crypto2000
    • Y. Lindell and B. Pinkas, "Privacy preserving data mining," Advances in Cryptology - Crypto2000, Lecture Notes in Computer Science, Volume 1880, 2000.
    • (2000) Lecture Notes in Computer Science , vol.1880
    • Lindell, Y.1    Pinkas, B.2
  • 9
    • 84942550998 scopus 로고    scopus 로고
    • Public-key cryptosystems based on composite degree residuosity classes
    • Prague, Czech Republic, May
    • P. Paillier, "Public-key cryptosystems based on composite degree residuosity classes," Advances in Cryptography - EUROCRYPT '99, pp 223-238, Prague, Czech Republic, May 1999.
    • (1999) Advances in Cryptography - EUROCRYPT '99 , pp. 223-238
    • Paillier, P.1
  • 10
    • 0036811662 scopus 로고    scopus 로고
    • k-anonymity: a model for protecting privacy International Journal on Uncertainty
    • L. Sweeney, "k-anonymity: a model for protecting privacy," International Journal on Uncertainty, Fuzziness and Knowledge-based Systems 10 (5), pp 557-570, 2002.
    • (2002) Fuzziness and Knowledge-based Systems , vol.10 , Issue.5 , pp. 557-570
    • Sweeney, L.1
  • 13
    • 33845304626 scopus 로고    scopus 로고
    • Privacy-preserving collaborative data mining
    • edited by T.Y. Lin S. Ohsuga, C. J. Liau, and X. Hu Springer-Verlag, to appear
    • Z. Zhan, L. Chang, and S. Matwin, "Privacy-preserving collaborative data mining," in Founda-tion and Novel Approach in Data Mining, edited by T.Y. Lin, S. Ohsuga, C.J. Liau, and X. Hu Springer-Verlag, to appear.
    • Founda-tion and Novel Approach in Data Mining
    • Zhan, Z.1    Chang, L.2    Matwin, S.3
  • 14
    • 84902511310 scopus 로고    scopus 로고
    • the 18th annual IFIP WG 11.3 working conference on data and application security, Sitges, Catalonia Spain
    • Z. Zhan, L. Chang, and S. Matwin, "Privacy-preserving multi-party decision tree induction," the 18th annual IFIP WG 11.3 working conference on data and application security, Sitges, Catalonia, Spain, 2004.
    • (2004) Privacy-preserving multi-party decision tree induction
    • Zhan, Z.1    Chang, L.2    Matwin, S.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.