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Volumn 6480, Issue PART 2, 2010, Pages 179-191

Statistical model applied to NetFlow for network intrusion detection

Author keywords

anomaly; intrusion detection; NetFlow; network; Security; statistical

Indexed keywords

ANOMALY; NETFLOWS; NETWORK; SECURITY; STATISTICAL;

EID: 78650597637     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-17697-5_9     Document Type: Article
Times cited : (6)

References (13)
  • 4
    • 78650602011 scopus 로고    scopus 로고
    • Sourcefire, Snort.org, http://www.snort.org
    • Sourcefire
  • 7
    • 67650289599 scopus 로고    scopus 로고
    • Behavioural characterization for network anomaly detection
    • Gavrilova, M.L., Tan, C.J.K., Moreno, E.D. (eds.). Transactions on Computational Science IV Springer, Heidelberg
    • Roche, V.P., Arronategui, U.: Behavioural Characterization for Network Anomaly Detection. In: Gavrilova, M.L., Tan, C.J.K., Moreno, E.D. (eds.) Transactions on Computational Science IV. LNCS, vol. 5430, pp. 23-40. Springer, Heidelberg (2009)
    • (2009) LNCS , vol.5430 , pp. 23-40
    • Roche, V.P.1    Arronategui, U.2
  • 8
    • 39649109444 scopus 로고    scopus 로고
    • A NetFlow based flow analysis and monitoring system in enterprise networks
    • Bin, L., Chuang, L., Jian, Q., Jianping, H., Ungsunan, P.: A NetFlow based flow analysis and monitoring system in enterprise networks. Computer Networks 5, 1074-1092 (2008)
    • (2008) Computer Networks , vol.5 , pp. 1074-1092
    • Bin, L.1    Chuang, L.2    Jian, Q.3    Jianping, H.4    Ungsunan, P.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.