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Volumn 383-390, Issue , 2012, Pages 303-307

A new model of intrusion detection based on data warehouse and data mining

Author keywords

Data mining; Intrusion detection; Network traffic analyzing

Indexed keywords

DOUBLE LAYERS; FALSE ALARM RATE; NETWORK INTRUSION DETECTION; NETWORK INTRUSIONS; NETWORK TRAFFIC; NETWORK TRAFFIC ANALYSIS; NETWORK TRAFFIC ANALYZING; NEW MODEL;

EID: 83755168895     PISSN: 10226680     EISSN: None     Source Type: Book Series    
DOI: 10.4028/www.scientific.net/AMR.383-390.303     Document Type: Conference Paper
Times cited : (1)

References (4)
  • 3
    • 0037142572 scopus 로고    scopus 로고
    • Anomaly inrtusion deteetion method basedon HMM
    • in, s. Ge 20 Jun
    • YQiao, X.W. Xin, YB. in, s. Ge. Anomaly inrtusion deteetion method basedon HMM. Eleetronies Letters, Vol.38, No.13, PP. 663 - 664, 20 Jun 2002
    • (2002) Eleetronies Letters , vol.38 , Issue.13 , pp. 663-664
    • Yqiao, X.W.1    Xin, Y.B.2
  • 4
    • 0009900351 scopus 로고    scopus 로고
    • Anomaly deteetion over noisy data using leanred probability distributions
    • Menlo Park, CA
    • E. Eskin. Anomaly deteetion over noisy data using leanred Probability distributions Proceedings of ICML 2000. Menlo Park, CA, 2002.
    • (2002) Proceedings of ICML 2000
    • Eskin, E.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.