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We present a new framework of anomalous payload detection system. First of all, frequent sequential patterns (FSPs) are mined from raw traffic payloads. Setting different supports, we have several level of description of normal payload. We extract each FSP feature using n-gram technique. Thus we can have a deeper insight of data flow. By using advanced clustering method to fulfill the feature reduction,...
Intrusion detection (ID) is an interesting approach that could be used to improve the security of network systems. IDS detects suspected patterns of network traffic on the remaining open parts through monitoring user activities (runtime gathering of data from system operations), and the subsequent analysis of these activities. The purpose of this work is to contribute ideas of finding a solution to...
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