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Lightweight Intrusion Detection System Based on Feature Selection

Author: HuangHongYan
Tutor: TianJunFeng
School: Hebei University
Course: Applied Computer Technology
Keywords: Feature Selection Lightweight Intrusion Detection System Filter Wrapper
CLC: TP393.08
Type: Master's thesis
Year: 2009
Downloads: 20
Quote: 0
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Abstract


The popularity of computer and network technology , bring great convenience to people's lives , but also the security risks spread to the entire network . It is precisely because of the increasingly high penetration rate of the network , in the event the purpose of large-scale network intrusions , the impact is more severe . As the protection of one of the means of network security intrusion detection technology , the majority of scholars at home and abroad has been of concern . Due to the size of the network continues to expand , the continuous growth of network traffic and hackers technology continues to evolve , the performance of intrusion detection higher requirements. Intrusion detection system based on all the characteristics of the processed data contains a lot of redundancy and noise features, making computing resources consumed by the system , leading to systematic training for a long time , real-time detection ineffective . For high-dimensional data objects , features one can improve the classification accuracy and efficiency , on the other hand , can find the information - rich feature subset can eliminate redundancy and noise characteristics , help to improve the detection of intrusion detection system speed and efficiency , and thus to study the intrusion detection system based on feature selection is necessary , also in line with trends in the field of intrusion detection . This paper proposes a lightweight intrusion detection system based on filter mode , whether it is in the dataset feature selection algorithm or classifier parameter optimization , gives the effective implementation of the strategy to improve the detection speed , reducing the classification interference and improve the detection rate of intrusion detection .

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Computer network > General issues > Computer Network Security
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