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Volumn 292 CCIS, Issue , 2012, Pages 578-583

Modeling access permissions in role based access control using formal concept analysis

Author keywords

Access control models; FCA; RBAC

Indexed keywords

ACCESS CONTROL MODELS; ACCESS PERMISSIONS; FCA; LATTICE APPROACHES; RBAC; ROLE-BASED ACCESS CONTROL;

EID: 84865304147     PISSN: 18650929     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-3-642-31686-9_67     Document Type: Conference Paper
Times cited : (4)

References (20)
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  • 3
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  • 5
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  • 6
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    • Adding Attributes to Role Based Access Control
    • Kuhn, D.R., Coyne, E.J., Weil, T.R.: Adding Attributes to Role Based Access Control. IEEE Computer 43(6), 79-81 (2010)
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  • 9
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    • Formal Concept Analysis
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  • 10
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    • Aswani Kumar, C.1    Srinivas, S.2
  • 11
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    • Concept Lattice Reduction using Fuzzy k Means Clustering
    • Aswani Kumar, C., Srinivas, S.: Concept Lattice Reduction using Fuzzy k Means Clustering. Expert Systems with Applications 37(3), 2696-2704 (2010)
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  • 12
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    • Aswani Kumar, C.: Mining Association Rules Using Non-Negative Matrix Factorization and Formal Concept Analysis. In: Venugopal, K.R., Patnaik, L.M. (eds.) ICIP 2011. CCIS, vol. 157, pp. 31-39. Springer, Heidelberg (2011)
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    • Fuzzy Clustering Based Formal Concept Analysis for Association Rules Mining
    • Aswani Kumar, C.: Fuzzy Clustering Based Formal Concept Analysis for Association Rules Mining. Applied Artificial Intelligence 26(3), 274-301 (2012)
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    • Priss, U.: Unix Systems Monitoring with FCA. In: Andrews, S., Polovina, S., Hill, R., Akhgar, B. (eds.) ICCS 2011. LNCS (LNAI), vol. 6828, pp. 243-256. Springer, Heidelberg (2011)
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.