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Volumn , Issue , 2011, Pages 645-649

Using generalization patterns for fingerprinting sets of partially anonymized microdata in the course of disasters

Author keywords

k anonymity; Fingerprinting; Generalization

Indexed keywords

ANONYMIZATION; DATA SETS; DISASTER RECOVERY; FINGERPRINTING; FIRE DEPARTMENT; GENERALIZATION; HEALTH STATUS; K-ANONYMITY; MICRODATA; PERSONAL INFORMATION; RELIEF ORGANIZATIONS; RESCUE OPERATIONS;

EID: 80455140258     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ARES.2011.101     Document Type: Conference Paper
Times cited : (4)

References (9)
  • 5
    • 0035517699 scopus 로고    scopus 로고
    • Protecting respondents' identities in microdata release
    • DOI 10.1109/69.971193
    • P. Samarati. Protecting respondents' identities in microdata release. IEEE Transactions on Knowledge and Data Engineering, pages 1010-1027, 2001. (Pubitemid 34035590)
    • (2001) IEEE Transactions on Knowledge and Data Engineering , vol.13 , Issue.6 , pp. 1010-1027
    • Samarati, P.1
  • 7
    • 0036811143 scopus 로고    scopus 로고
    • Achieving k-anonymity privacy protection using generalization and suppression
    • DOI 10.1142/S021848850200165X
    • L. Sweeney. Achieving k-anonymity privacy protection using generalization and suppression. International Journal of Uncertainty Fuzziness and Knowledge-Based Systems, 10(5):571-588, 2002. (Pubitemid 35384858)
    • (2002) International Journal of Uncertainty, Fuzziness and Knowlege-Based Systems , vol.10 , Issue.5 , pp. 571-588
    • Sweeney, L.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.