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Volumn 3498, Issue III, 2005, Pages 476-481

Anomaly internet network traffic detection by kernel principle component classifier

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER NETWORKS; SECURITY OF DATA; SIGNAL DETECTION; TELECOMMUNICATION TRAFFIC;

EID: 24944518771     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/11427469_77     Document Type: Conference Paper
Times cited : (3)

References (15)
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    • Heady, R.1    Luger, G.2    Maccabe, A.3    Servilla, M.4
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    • Learning nonstationary models of normal network traffic for detecting novel attacks
    • Mahoney, M., Chan, P.K.: Learning Nonstationary Models of Normal Network Traffic for Detecting Novel Attacks. SIGKDD, (2002) 376-385
    • (2002) SIGKDD , pp. 376-385
    • Mahoney, M.1    Chan, P.K.2
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    • Novelty detection: A review parti: Statistical approaches
    • Markou, M., Singh, S.: Novelty Detection: A Review Parti: Statistical Approaches. Signal Processing, (2003)
    • (2003) Signal Processing
    • Markou, M.1    Singh, S.2
  • 6
    • 0142126712 scopus 로고    scopus 로고
    • Novelty detection: A review part2: Neural network-based approaches
    • Markou, M., Singh, S.: Novelty Detection: A Review Part2: Neural Network-based Approaches. Signal Processing, (2003)
    • (2003) Signal Processing
    • Markou, M.1    Singh, S.2
  • 7
    • 0034864026 scopus 로고    scopus 로고
    • The influence of long-rang dependence on traffic prediction
    • Ostring, S., Sirisena, H.: The Influence of Long-rang Dependence on Traffic Prediction. IEEE ICC, (2001) 1000-1005
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    • Ostring, S.1    Sirisena, H.2
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    • Paxson, V.B.1
  • 9
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    • Roesch, M.: Snort - Lightweight Intrusion Detection for Networks. Proceedings of USENIX Lisa'99, (1999)
    • (1999) Proceedings of USENIX Lisa'99
    • Roesch, M.1
  • 10
    • 0347243182 scopus 로고    scopus 로고
    • Nonlinear component analysis as a kernel eigenvalue problem
    • Scholkopf, B., Smola, A.J., Muller, K.R.: Nonlinear Component Analysis as a Kernel Eigenvalue Problem. Neural Computation, (1998) 1299-1319
    • (1998) Neural Computation , pp. 1299-1319
    • Scholkopf, B.1    Smola, A.J.2    Muller, K.R.3
  • 11
    • 27144518261 scopus 로고    scopus 로고
    • A novel abnormal detection scheme based on principle component classifier
    • Shyu, M.L., Chen, S.C., Sarinnapakorn, K., Chang L.W.: A Novel Abnormal Detection Scheme Based on Principle Component classifier. ICDM (2003)
    • (2003) ICDM
    • Shyu, M.L.1    Chen, S.C.2    Sarinnapakorn, K.3    Chang, L.W.4
  • 12
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    • A boosting-based framework for self-similar and non-linear interet traffic prediction
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  • 13
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    • Tran, Q.A., Duan, H., and Li, X.: One-Class Support Vector Machine for Anomaly Network Traffic Detection. APAN (2004)
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.