메뉴 건너뛰기




Volumn , Issue , 2007, Pages 665-676

Hiding the presence of individuals from shared databases

Author keywords

Delta presence; K anonymity; Medical databases; Privacy

Indexed keywords

ANONYMIZATION; K-ANONYMITY; MEDICAL DATABASES;

EID: 35448937300     PISSN: 07308078     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1247480.1247554     Document Type: Conference Paper
Times cited : (228)

References (17)
  • 1
    • 35448988380 scopus 로고    scopus 로고
    • A. D. Association. Direct and indirect costs of diabetes in the United States, 2006. http://www.diabetes.org/diabetes-statistics/cost-of-diabetes-in- us.jsp
    • A. D. Association. Direct and indirect costs of diabetes in the United States, 2006. http://www.diabetes.org/diabetes-statistics/cost-of-diabetes-in- us.jsp
  • 4
    • 33750230627 scopus 로고    scopus 로고
    • M. Atzori. Weak, k-anonymity: A low-distortion model for protecting privacy. In Proceedings of the 8th International Information Security Conference (ISC06), pages 60-7.1, 2006.
    • M. Atzori. Weak, k-anonymity: A low-distortion model for protecting privacy. In Proceedings of the 8th International Information Security Conference (ISC06), pages 60-7.1, 2006.
  • 7
    • 0037077422 scopus 로고    scopus 로고
    • Standard for privacy of individually identifiable health information. Federal Register, 67(157):53181-53273, Aug. 14 2002.
    • Standard for privacy of individually identifiable health information. Federal Register, 67(157):53181-53273, Aug. 14 2002.
  • 8
    • 0033105319 scopus 로고    scopus 로고
    • Using boolean reasoning to anonymize databases
    • Mar
    • A. Ohm and L. Ohno-Machado. Using boolean reasoning to anonymize databases. Artificial Intelligence in Medicine, 15(3):235-254, Mar. 1999.
    • (1999) Artificial Intelligence in Medicine , vol.15 , Issue.3 , pp. 235-254
    • Ohm, A.1    Ohno-Machado, L.2
  • 12
    • 33749607006 scopus 로고    scopus 로고
    • A. Machanavajjhala, J. Gehrke, D. Kifer, and M. Venkitasubramaniam. l-diversity: Privacy beyond k-anonymity. In Proceedings of the 22nd IEEE International Conference on Data Engineering (ICDE 2006), Atlanta Georgia, Apr. 2006.
    • A. Machanavajjhala, J. Gehrke, D. Kifer, and M. Venkitasubramaniam. l-diversity: Privacy beyond k-anonymity. In Proceedings of the 22nd IEEE International Conference on Data Engineering (ICDE 2006), Atlanta Georgia, Apr. 2006.
  • 13
    • 35448955163 scopus 로고    scopus 로고
    • National Institute of Diabetes and Digestive and Kidney Diseases. National diabetes statistics fact sheet: general information and national estimates on diabetes in the United States. Technical Report NIH Publication No. 06-3892, U.S. Department of Health and Human Services, National Institute of Health, Bethesda, MD, Nov. 2005.
    • National Institute of Diabetes and Digestive and Kidney Diseases. National diabetes statistics fact sheet: general information and national estimates on diabetes in the United States. Technical Report NIH Publication No. 06-3892, U.S. Department of Health and Human Services, National Institute of Health, Bethesda, MD, Nov. 2005.
  • 15
    • 0035517699 scopus 로고    scopus 로고
    • Protecting respondent's privacy in microdata release
    • Nov./Dec
    • P. Samarati. Protecting respondent's privacy in microdata release. IEEE Transactions on Knowledge and Data Engineering, 13(6): 1010-1027, Nov./Dec. 2001.
    • (2001) IEEE Transactions on Knowledge and Data Engineering , vol.13 , Issue.6 , pp. 1010-1027
    • Samarati, P.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.