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Network intrusion detection technology in data mining algorithm

Author: ZhangJie
Tutor: FangJian；MaZhiQiang
School: University of Electronic Science and Technology
Course: Software Engineering
Keywords: Network Security Data Mining Intrusion Detection
CLC: TP393.08
Type: Master's thesis
Year: 2010
Downloads: 89
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Abstract


With the popularity of computer network applications and online business activities have become increasingly frequent , and the security of computer systems is becoming more prominent. Intrusion detection system (Intrusion Detection System, IDS) is an important part of the information security architecture . Computer security issues have become increasingly prominent , the intrusion detection system put forward higher requirements . However , traditional intrusion detection system deficiencies in terms of effectiveness, adaptability and scalability . For these shortcomings, this paper from the perspective of data processing , data mining method based on a massive audit data to create a model to detect the intrusion . This article first intrusion detection technology background , a brief description and classified . Then discusses the application of data mining knowledge and data mining in intrusion detection . Come to address these shortcomings through research and analysis of the defects of the traditional intrusion detection systems need to process large amounts of data , data mining technology is a powerful data processing tool , data mining technology in the traditional intrusion detection systems to handle the massive data , in order to improve the detection performance of the whole system , effectively reducing the false alarm rate and false alarm rate of the whole system . Intrusion detection model based on data mining , focuses on association rules and clustering algorithm is widely used in the field of intrusion detection by analyzing the data mining algorithm K-means clustering algorithm and Apriori algorithm for intrusion detection defects, these defects is improved , and by the specific examples illustrate the effectiveness of the improvement .

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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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