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Application of data mining techniques in intrusion alarm system

Author: ShaoLei
Tutor: LiJinHong；LiuZuo
School: North China University of
Course: Applied Computer Technology
Keywords: Intrusion Alarm System Data preprocessing Association rules
CLC: TP393.08
Type: Master's thesis
Year: 2011
Downloads: 11
Quote: 0
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Abstract


Intrusion alarm system is a subsystem of the security system , mainly by the front-end detector , transmission lines and terminal control host . System during operation will generate a lot of alarm information , vast amounts of data . By data mining techniques to find the links between the various attributes of the alarm database and found that the relationship between the type of alarm system equipment , monitoring the environment, false alarm rate , reduce the intrusion alarm system false alarm rate is of great significance . Existing mainstream alarm system contains a large number of alarm detectors , detector consists of ten parts of lower-cost , poor performance , and therefore lead to the alarm system of the uneven quality of the project , which led to a role as a security system alarm system should not guarantee , association rules system alarm information analysis, alarm detector can be drawn using parameters to facilitate future guidance engineer selection to improve the efficiency in the use of the system 's security , to ensure the security of the system users , better protection of life and property safety . Large amount of historical data to study the intrusion alarm system , has been the link between the rate of false positives and monitor the environment , equipment type , found that the impact of the environment for the false alarm rate is huge , get to be based on the environment is the right choice detectors can greatly reduce the conclusion of the system false alarm rate . Data preprocessing stage , used for data attached power constraint , a substantial increase in the execution speed of the data preprocessing . Association rules discovery process , the establishment of a data cube , while the index table more quickly find frequent predicate sets , correlation analysis for mining association rules , filter out the negative rules are not interested . Predecessors can not be found in the law found through research found wet environment , equipment use time for the rate of false positives , which from a whole new perspective on the alarm data analysis has been effectively reduce system false alarm rate method.

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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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