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Title:
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PREPROCESSING ROUGH NETWORK TRAFFIC FOR INTRUSION DETECTION PURPOSES |
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Author(s):
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Salem Benferhat , Karima Sedki , Karim Tabia |
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ISBN:
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978-972-8924-40-9 |
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Editors:
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Jörg Roth, Jairo Gutiérrez and Ajith P. Abraham (series editors: Piet Kommers, Pedro Isaías and Nian-Shing Chen) |
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Year:
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2007 |
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Edition:
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Single |
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Keywords:
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Intrusion detection, connection records, preprocessing, feature extraction. |
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Type:
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Short Paper |
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First Page:
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105 |
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Last Page:
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109 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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This paper describes a new tool for preprocessing rough network traffic into connection records. This tool can be used to
provide summarized and relevant information for intrusion detection and prevention. It preprocesses both off-line and online
row network data into high-level network connection records. Our tool is added as new functionalities to the well
known network protocol analyzer Ethereal. Relevant preprocessed data is critical for intrusion detection and prevention
particularly in terms of efficiency. |
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