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Comparison of Two Sampling-Based Data Collection Mechanisms for Intrusion Detection System

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network security

Overview Data collection mechanism is a crucial factor for the performance of Intrusion Detection System (IDS). Simple random sampling and Stratified random sampling techniques of statistics are introduced to the procedure of data collection for IDS, and formulas used to calculate the sample size of packets based on these sampling techniques are presented. The implementation of packets sampling is provided, and efficiencies of these data collection mechanisms for IDS are compared in this paper.

Further White Paper Details
Publisher	Jilin University	File Format	PDF
Date Published	April 2006
Format	White Papers
Topics	Network Security, Security Tools, Intrusion Detection Systems

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