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Volumn 16, Issue , 2004, Pages 626-631

A collusion-resistant approach to distributed privacy-preserving data mining

Author keywords

Data mining; Distributed processing; Privacy

Indexed keywords

ALGORITHMS; DATA PRIVACY; DATA PROCESSING; DATABASE SYSTEMS; HOSPITALS; INSURANCE; MATHEMATICAL MODELS;

EID: 11844299107     PISSN: 10272658     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (2)

References (21)
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    • O. Goldreich, Secure multi-party computation, Sept. 1998, (working draft). [Online]. Available: http://www.wisdom.weizmann.ac.il/~oded/pp.html.
    • (1998) Secure Multi-party Computation
    • Goldreich, O.1
  • 8
    • 0019532104 scopus 로고    scopus 로고
    • IEEE transactions on knowledge and data engineering
    • To Appear. Untraceable Electronic Mail, Return Addresses, and Digital Pseudonyms
    • IEEE Transactions on Knowledge and Data Engineering, To Appear. D. Chaum, Untraceable Electronic Mail, Return Addresses, and Digital Pseudonyms, Comm. of the ACM, Vol.24, No.2, pp.84-88.
    • Comm. of the ACM , vol.24 , Issue.2 , pp. 84-88
    • Chaum, D.1
  • 10
    • 0005063385 scopus 로고    scopus 로고
    • Onion routing for anonymous and private internet connections
    • D. Goldschlag, M. Reed, and P. Syverson, Onion Routing for Anonymous and Private Internet Connections, Comm. of the ACM, Vol.42, No.2, pp.39-41.
    • Comm. of the ACM , vol.42 , Issue.2 , pp. 39-41
    • Goldschlag, D.1    Reed, M.2    Syverson, P.3
  • 16
    • 33746437508 scopus 로고    scopus 로고
    • Privacy preserving data mining
    • Y. Lindell and B. Pinkas, Privacy Preserving Data Mining, In the Journal of Cryptology, Vol.15, No.3, pp. 177-206.
    • The Journal of Cryptology , vol.15 , Issue.3 , pp. 177-206
    • Lindell, Y.1    Pinkas, B.2
  • 20
    • 11844283181 scopus 로고    scopus 로고
    • Efficient, accurate and privacy-preserving data mining for frequent itemsets in distributed databases
    • Manaus, Amazonas, Brazil
    • A.A. Veloso, Wagner Meira Jr., S. Parthasarathy and M. B. Carvalho, Efficient, Accurate and Privacy-Preserving Data Mining for Frequent Itemsets in Distributed Databases, In Proc. the 18th Brazilian Symposium on Databases, (Manaus, Amazonas, Brazil, 2003), pp.281-292.
    • (2003) Proc. the 18th Brazilian Symposium on Databases , pp. 281-292
    • Veloso, A.A.1    Meira Jr., W.2    Parthasarathy, S.3    Carvalho, M.B.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.