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Research of Intrusion Detection Discuss Method Based on Inverse Cloud Theory

Author: ZhengLuNing
Tutor: ZhangQiuYu
School: Lanzhou University of Technology
Course: Applied Computer Technology
Keywords: Cloud Theory Qualitative description Backward cloud generator The partial isolation coefficient crest method Intrusion Detection
CLC: TP393.08
Type: Master's thesis
Year: 2009
Downloads: 117
Quote: 1
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Abstract


Over a single judgment for intrusion detection systems , can not help the system to ensure the normal work of the critical services , Academician Li Deyi cloud theory (Cloud Theory) intrusion detection system (Intrusion Detection System) combined constitute the qualitative conceptual knowledge and IDS qualitative and quantitative mathematical conversion presents a quantitative numerical data mapping , the use of reverse cloud generator and forward cloud generator single performance status qualitative description backward cloud theory - based intrusion detection evaluation method . Pre-processing of the data is the key to intrusion detection , the quality of the data in order to have good detection results , the paper backward cloud generator data preprocessing can eliminate the high quality of the data , so as to optimize data . The discrete numerical interval division structure qualitative evaluation cloud generator based on the premise cloud theory in intrusion detection system . Papers on the basis of in-depth study of intrusion detection , reverse cloud theory , in order to reverse cloud generator pretreated data to calculate the various data locally isolated coefficient , a new discrete numerical interval division method - partial isolation coefficient crest Act (Local Outlier Coefficient Wave). The method to maintain the original distribution of the data , divided after the interval with a range of data gathered , the evacuation of the characteristics of the different interval data , the effectiveness of the method is proved by experiments . In order to qualitatively describe the system invasion of the likelihood of size , proposed a new method based on the weighted average of the multi-sensor fusion LOCW . Under ideal conditions , the use of multi-sensor fusion weighted average method to calculate the system performance weights , and the value of individual performance indicators weighted fusion the ideal comprehensive evaluation results . Using reverse again on the basis of the LOCW cloud generator for data processing , the characteristic values ??obtained by forward cloud generator constructed qualitative evaluation cloud generator . A qualitative description of the current likelihood of intrusion detection , in order to achieve a reverse cloud generator - based intrusion detection evaluation method , the experimental results show that the method is effective .

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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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