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    COMCOM
    2008
    137views more  COMCOM 2008»
    Processing of massive audit data streams for real-time anomaly intrusion detection
    13 years 4 months ago
    Processing of massive audit data streams for real-time anomaly intrusion detection
    Download  www.cfins.au.tsinghua.edu.cn
    Wei Wang 0012, Xiaohong Guan, Xiangliang Zhang
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    FEGC
    2009
    94views Biometrics» more  FEGC 2009»
    Online and adaptive anomaly Detection: detecting intrusions in unlabelled audit data streams
    13 years 2 months ago
    Online and adaptive anomaly Detection: detecting intrusions in unlabelled audit data streams
    Download  www.irisa.fr
    Wei Wang 0012, Thomas Guyet, Rene Quiniou, Marie-O...
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    SDM
    2011
    SIAM
    256views Data Mining» more  SDM 2011»
    Temporal Structure Learning for Clustering Massive Data Streams in Real-Time
    12 years 7 months ago
    Temporal Structure Learning for Clustering Massive Data Streams in Real-Time
    Download  michael.hahsler.net
    This paper describes one of the first attempts to model the temporal structure of massive data streams in real-time using data stream clustering. Recently, many data stream clust...
    Michael Hahsler, Margaret H. Dunham
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    ICDCSW
    2005
    IEEE
    168views Computer Networks» more  ICDCSW 2005»
    Adaptive Real-Time Anomaly Detection with Improved Index and Ability to Forget
    13 years 10 months ago
    Adaptive Real-Time Anomaly Detection with Improved Index and Ability to Forget
    Download  www.ida.liu.se
    Anomaly detection in IP networks, detection of deviations from what is considered normal, is an important complement to misuse detection based on known attack descriptions. Perfor...
    Kalle Burbeck, Simin Nadjm-Tehrani
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    CN
    2007
    168views more  CN 2007»
    Network anomaly detection with incomplete audit data
    13 years 4 months ago
    Network anomaly detection with incomplete audit data
    Download  www.cesca.centers.vt.edu
    With the ever increasing deployment and usage of gigabit networks, traditional network anomaly detection based Intrusion Detection Systems (IDS) have not scaled accordingly. Most,...
    Animesh Patcha, Jung-Min Park
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