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Volumn 2668, Issue , 2003, Pages 21-30

Anomaly detection scheme using data mining in mobile environment

Author keywords

[No Author keywords available]

Indexed keywords

DATA MINING; FILTRATION; MERCURY (METAL); PATTERN RECOGNITION; SIGNAL DETECTION;

EID: 35248834188     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-44843-8_3     Document Type: Article
Times cited : (2)

References (20)
  • 8
    • 4143149628 scopus 로고    scopus 로고
    • A Geometric Framework for Unsupervised Anomaly Detection: Detecting Intrusion in Unlabeled Data
    • Kluwer
    • Eleazar Eskin, Andrew Arnold, Michael Prerau, Leonid Portnoy and Salvatore Stolfo: A Geometric Framework for Unsupervised Anomaly Detection: Detecting Intrusion in Unlabeled Data. To appear in Data Mining for Security Applications. Kluwer 2002.
    • (2002) Data Mining for Security Applications
    • Eskin, E.1    Arnold, A.2    Prerau, M.3    Portnoy, L.4    Stolfo, S.5
  • 15
    • 0002629036 scopus 로고    scopus 로고
    • EMERALD: Event Monitoring Enabling Responses Anomalous Live Disturbances
    • Phillip A. Porras and Peter G. Neumann: EMERALD : Event Monitoring Enabling Responses Anomalous Live Disturbances, 20th NISSC, 1997.
    • (1997) 20th NISSC
    • Porras, P.A.1    Neumann, P.G.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.