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Volumn , Issue , 2013, Pages 319-328

S-MAIDS: A semantic model for automated tuning, correlation, and response selection in intrusion detection systems

Author keywords

Computer aided diagnosis; Computer security; Intrusion detection; Knowledge based systems; Software measurement

Indexed keywords

APPLICATION PROGRAMS; AUTOMATION; COMPUTER AIDED DIAGNOSIS; COMPUTER CRIME; KNOWLEDGE BASED SYSTEMS; SECURITY OF DATA; SEMANTICS; TUNING;

EID: 84891323480     PISSN: 07303157     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/COMPSAC.2013.57     Document Type: Conference Paper
Times cited : (11)

References (18)
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  • 12
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    • An ontology-driven approach to model siem information and operations using the swrl formalism
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    • G. G. Granadillo, Y. B. Mustapha, N. Hachem, and H. Debar, "An ontology-driven approach to model siem information and operations using the swrl formalism," Int. J. Electron. Secur. Digit. Forensic, vol. 4, no. 2/3, pp. 104-123, Aug. 2012. [Online]. Available: http://dx.doi.org/10.1504/IJESDF.2012. 048412
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    • Granadillo, G.G.1    Mustapha, Y.B.2    Hachem, N.3    Debar, H.4
  • 15
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    • A logicbased model to support alert correlation in intrusion detection
    • Feb.
    • B. Morin, L. Me, H. Debar, and M. Ducasse, "A logicbased model to support alert correlation in intrusion detection," Information Fusion, vol. 10, no. 4, pp. 285-299, Feb. 2009.
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    • Morin, B.1    Me, L.2    Debar, H.3    Ducasse, M.4
  • 17
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    • eEye Digital Security. ida Code Red Worm Tech. Rep
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    • (2012) Introduction to Cisco IOS NetFlow


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.