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Volumn , Issue , 2010, Pages 3-11

Detecting data misuse by applying context-based data linkage

Author keywords

data leakage; data misuse; information leakage; insider threat

Indexed keywords

BEHAVIORAL MODEL; CONTEXT-BASED; CONTEXTUAL FEATURE; CRITICAL DATA; DATA LEAKAGE; DATA LINKAGE; DATA MISUSE; INFORMATION LEAKAGE; INSIDER THREAT; LEARNING PHASE; MACHINE LEARNING ALGORITHMS; NEW APPROACHES; SECURITY OFFICERS; SENSITIVE DATAS; SHAREHOLDER VALUES;

EID: 78650097664     PISSN: 15437221     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1866886.1866890     Document Type: Conference Paper
Times cited : (15)

References (23)
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    • Newcombe, H.B.1    Kennedy, J.M.2
  • 7
    • 33846428121 scopus 로고    scopus 로고
    • Quality and Complexity Measures for Data Linkage and Deduplications
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    • Christen, P., and Goiser, K. 2007. Quality and Complexity Measures for Data Linkage and Deduplications. In Quality Measures in Data Mining, F. Guillet, and H. J. Hammilton Ed. Springer,Berlin / Heidelberg. 127-151.
    • (2007) Quality Measures in Data Mining , pp. 127-151
    • Christen, P.1    Goiser, K.2
  • 8
    • 0032091575 scopus 로고    scopus 로고
    • Integration of heterogeneous databases without common domains using queries based on textual similarity
    • Cohen W.W. 1998. Integration of heterogeneous databases without common domains using queries based on textual similarity. In Proceedings of ACM SIGMOD, Seattle, 201-212.
    • (1998) Proceedings of ACM SIGMOD, Seattle , pp. 201-212
    • Cohen, W.W.1
  • 11
    • 0034592784 scopus 로고    scopus 로고
    • Efficient clustering of high-dimensional datasets with application to reference matching
    • Mccallum, A., Nigam, K., and Ungar, L.H. 2000. Efficient clustering of high-dimensional datasets with application to reference matching. In Proceedings of ACM SIGKDD, Boston, 169-178.
    • (2000) Proceedings of ACM SIGKDD, Boston , pp. 169-178
    • Mccallum, A.1    Nigam, K.2    Ungar, L.H.3
  • 18
    • 70350394979 scopus 로고    scopus 로고
    • Database Intrusion Detection using Weighted Sequence Mining
    • Srivastava, A., Sural, S., and Majumdar, A.K. 2006. Database Intrusion Detection using Weighted Sequence Mining. Journal of Computers, 1, 4. 8-17.
    • (2006) Journal of Computers , vol.1 , Issue.4 , pp. 8-17
    • Srivastava, A.1    Sural, S.2    Majumdar, A.K.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.