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Analyzing TCP Traffic Patterns Using Self Organizing Maps  (Make Corrections)  
Stefano Zanero



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Abstract: The continuous evolution of the attacks against computer networks has given renewed strength to research on anomaly based Intrusion Detection Systems, capable of automatically detecting anomalous deviations in the behavior of a computer system. While data mining and learning techniques have been successfully applied in host-based intrusion detection, network-based applications are more difficult, for a variety of reasons, the first being the curse of dimensionality. We have proposed a novel... (Update)

Active bibliography (related documents):   More   All
1.4:   Improving Self Organizing Map Performance for Network Intrusion.. - Zanero (2004)   (Correct)
1.0:   Unsupervised Learning Techniques for an Intrusion Detection.. - Zanero, Savaresi (2004)   (Correct)
0.6:   Automated Modeling and Nonlinear Axis Scaling - Leejay Wu (2005)   (Correct)

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BibTeX entry:   (Update)

@misc{ zanero-analyzing,
  author = "Stefano Zanero",
  title = "Analyzing {TCP} Traffic Patterns Using Self Organizing Maps",
  url = "citeseer.ist.psu.edu/741555.html" }
Citations (may not include all citations):
1213   Self-Organizing Maps (context) - Kohonen - 2001
295   Clustering Algorithms (context) - Hartigan - 1975
79   Computer security threat monitoring and surveillance (context) - Anderson - 1980
51   and denial of service: Eluding network intrusion detection (context) - Ptacek, Newsham - 1998
13   line unsupervised outlier detection using finite mixtures wi.. - Yamanishi, ichi et al. - 2000
11   Monographs on Statistics and Applied Probability (context) - Cox, Cox - 1995
10   Detecting novel attacks by identifying anomalous network pac.. - Mahoney, Chan - 2001
7   Anomalous payload-based network intrusion detection - Wang, Stolfo - 2004
6   the detection of anomalous system call arguments - Kruegel, Mutz et al. - 2003
5   Parzen-window network intrusion detectors - Yeung, Chow - 2002
4   Detection and classification TCPIP network service (context) - Detection, TCP et al. - 1997
4   NSOM: A real-time network-based intrusion detection system u.. (context) - Labib, Vemuri - 2002
4   Unsupervised learning techniques for an intrusion detection .. - Zanero, Savaresi - 2004
2   and 1999 DARPA intrusion detection system evaluations as per.. (context) - McHugh, Testing - 2000
2   Learning rules for anomaly detection of hostile network tra#.. - Mahoney, Chan - 2003
1   Improving self organizing map performance for network intrus.. - Zanero - 2004

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Computer Virus Propagation Models - Serazzi, Zanero (2003)   (Correct)
Optimal Number of Nodes for Computation in Grid.. - Muttoni, Casale.. (2003)   (Correct)
Unsupervised Learning Techniques for an Intrusion Detection.. - Zanero, Savaresi (2004)   (Correct)

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