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Application of Support Vector Machine in the Intrusion Detection

Author: ZhuJie
Tutor: LiuZhiJing；ZhongWeiCai
School: Xi'an University of Electronic Science and Technology
Course: Computer technology
Keywords: Network Security IDS SVM
CLC: TP393.08
Type: Master's thesis
Year: 2008
Downloads: 37
Quote: 1
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Abstract


The security of information has become the focus of our attention with the more and more popularity of computers’s application. Frequent computer intrusions in the reality require stronger safeguards of computer security. Intrusion detection is a succeeding protection method after some traditional security measures. It finds current possible intrusions with some techniques and guides users into reaction, so that the safety of the target system can be greatly improved and there will be less possibilities of security crisis.Through the analysis of current intrusion detection methods and characteristic of support vector machine (SVM), this paper tries to apply SVM as classifying means to network intrusion detection field, designs an applied SVM-based intrusion detection system model and makes detailed narration of model realization. On the basis of this model this thesis also performs lots of experiments using KDD CUP 99 dataset.We define a new distance-measuring function on KDD CUP 99 heterogeneous dataset which gives attention to both continuous attributes and discrete attributes. Our function can measure the distance between different records more effectively, so we embeds it into the computation of radial kernel function to improve SVM’s learning ability over heterogeneous dataset. And we designed one SVM-based classifier for intrusion detection, and tested the classifier. Experiment shows that the speed of training and classifying is very high, and it is very good and suitable for networking 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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