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Research on the Key Technologies of Intelligent Intrusion Detection System

Author: BaiZuo
Tutor: WuWeiShan
School: Xi'an University of Architecture and Technology
Course: Applied Computer Technology
Keywords: Intrusion Detection K-Nearest neighbors algorithm K-Means algorithm Multi-sensor data fusion Dempster-Shafer evidential reasoning
CLC: TP393.08
Type: Master's thesis
Year: 2009
Downloads: 21
Quote: 0
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Abstract


Intrusion detection system prevalent false alarm rate, is difficult to analyze the mass of information defects. With the diversification of network attacks and intelligent single technology has been difficult to adapt to the current security and defense needs . Therefore , the integration of a variety of techniques to build a new intrusion detection system has become the focus of the current study and hotspots . The existing intelligent intrusion detection technology based on data mining and multi- sensor data fusion technology into the intrusion detection system to conduct a detailed analysis to be improved , and the classical algorithm in these two technologies , making the improved algorithm is more applied to the intrusion detection system , and the system can effectively reduce the false alarm rate , improve overall system performance . Classification and clustering analysis algorithm introduced the intrusion detection system , using data mining technology to data collected in vast amounts of network and host security log analysis and audit information filtering , to unusual data characteristics of information and valuable information from the data , which improve the system 's ability to identify the user abnormal behavior and the detection of new, unknown attacks . The paper details the K-Nearest neighbors algorithm and K-Means algorithm , traditional algorithms can only handle numeric attribute data , can not meet the requirements of the intrusion detection system data , and therefore must be improved . Simulation experiments prove the IDS KNN improved algorithm IDSK-Means algorithm applies not only to the intrusion detection system can effectively improve the system performance . Current intrusion detection system is technically unable to detect combined attacks , intrusion detection system integrated into the multi-sensor data fusion technology is even more important . The technology is derived from a plurality of distributed sensor at a variety of data and information into , and constitute a unified handling process , multi-sensor detection can be effective to avoid the drawbacks of using only one probe detection , reduced false alarm rate and improve the ability of the system to adapt to the network of high-speed bandwidth to suppress massive alarm event . This article Dempster-Shafer evidence reasoning and its extension combination rules for intrusion detection systems , in order to improve the detection rate of intrusion detection system , reduce system false alarm rate .

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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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