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Volumn , Issue , 2003, Pages 10-19

Applications of hidden Markov models to detecting multi-stage network attacks

Author keywords

[No Author keywords available]

Indexed keywords

COMPLEX NETWORKS; COMPUTER CRIME; DECISION TREES; FORESTRY; INTRUSION DETECTION; LEARNING SYSTEMS; NEURAL NETWORKS; RANDOM FORESTS;

EID: 84969506768     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/HICSS.2003.1174909     Document Type: Conference Paper
Times cited : (113)

References (30)
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    • Valdes, A.1    Skinner, K.2
  • 9
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    • Master's thesis. Department of Computer Science, University of Waikato
    • Wen, Y.: Text Mining Using HMM and PPM. Master's thesis. Department of Computer Science, University of Waikato (2001)
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    • Wen, Y.1
  • 11
    • 0034360451 scopus 로고    scopus 로고
    • Detecting Homogeneous Segments in DNA Sequences by Using Hidden Markov Models
    • Boys, R.J., Henderson, D.A., Wilkinson, D.J.: Detecting Homogeneous Segments in DNA Sequences by Using Hidden Markov Models. Applied Statistics 49(2) (2000) 269
    • (2000) Applied Statistics , vol.49 , Issue.2 , pp. 269
    • Boys, R.J.1    Henderson, D.A.2    Wilkinson, D.J.3
  • 13
    • 84922794799 scopus 로고    scopus 로고
    • Managing Alerts in a Multi-intrusion Detection Environment
    • New Orleans, Louisiana
    • Cuppens, F.: Managing Alerts in a Multi-intrusion Detection Environment. In: 17th Annual Computer Security Applications Conference. New Orleans, Louisiana (2001)
    • (2001) 17th Annual Computer Security Applications Conference
    • Cuppens, F.1
  • 19
    • 0002346678 scopus 로고
    • Theoretical Analysis of an Alphabetic Confusion Matrix
    • Townsend, J.T.: Theoretical Analysis of an Alphabetic Confusion Matrix. Perception and Psychophysics 9(1A) (1971) 40-50
    • (1971) Perception and Psychophysics , vol.9 , Issue.1 , pp. 40-50
    • Townsend, J.T.1
  • 21
    • 0004080666 scopus 로고
    • Signal Detection Theory and ROC Analysis
    • Academic Press, New York
    • Egan, J.P.: Signal Detection Theory and ROC Analysis. Series in Cognition and Perception. Academic Press, New York (1975)
    • (1975) Series in Cognition and Perception
    • Egan, J.P.1
  • 23
    • 0035283313 scopus 로고    scopus 로고
    • Robust Classification for Imprecise Environments
    • Provost, F., Fawcett, T.: Robust Classification for Imprecise Environments. Machine Learning 42 (2001) 203-231
    • (2001) Machine Learning , vol.42 , pp. 203-231
    • Provost, F.1    Fawcett, T.2
  • 25
    • 2242481419 scopus 로고    scopus 로고
    • Learning from Imbalanced Data Sets: A Comparison of Various Strategies
    • Papers Technical Report AAAI Press, Menlo Park, California, USA
    • Japkowicz, N.: Learning from Imbalanced Data Sets: A Comparison of Various Strategies. In: Papers from the AAAI Workshop on Learning from Imbalanced Data Sets. Technical Report WS-00-05, AAAI Press, Menlo Park, California, USA (2000)
    • (2000) AAAI Workshop on Learning from Imbalanced Data Sets
    • Japkowicz, N.1
  • 27
    • 0003562954 scopus 로고    scopus 로고
    • A Simple Generalization of the Area under the Roc Curve for Multiple Class Classification Problems
    • Hand, D., Till, R.: A Simple Generalization of the Area under the Roc Curve for Multiple Class Classification Problems. Machine Learning 45 (2001) 171-186
    • (2001) Machine Learning , vol.45 , pp. 171-186
    • Hand, D.1    Till, R.2
  • 30
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    • Technical Report Artificial Intelligence Laboratory. The University of Texas, Austin, Texas, USA
    • Mooney, R. J., Ourston, D.: Theory Refinement with Noisy Data. Technical Report AI91-153, Artificial Intelligence Laboratory. The University of Texas, Austin, Texas, USA (1991)
    • (1991) Theory Refinement with Noisy Data
    • Mooney, R.J.1    Ourston, D.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.