| 基于分布式数据入侵检测模型研究 |
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| 引用本文： | 彭国星.基于分布式数据入侵检测模型研究[J].中南林业科技大学学报,2010,30(3). |
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| 作者姓名： | 彭国星 |
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| 作者单位： | 湖南工业大学,计算机与通信学院,湖南,株洲,412007 |
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| 基金项目： | 湖南省教育厅资助项目 |
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| 摘 要： | 在数据挖掘技术应用于入侵检测的研究中,分布式环境下的全局频繁项目集的更新算法尚不多见。为改善入侵数据增加后,更新算法的效率问题,提出一种基于分布式入侵检测的关联规则快速更新算法TDUA(Trivial Distributed Update of Association rules)。算法引入强频繁项目集概念,有效地修剪候选项目集数目,采用共享模式的体系结构,具有通信代价较小,挖掘效率较高的特点。并从理论与实验两个方面验证了算法适应在高速大流量的分布式网络环境下快速准确地建立入侵检测模型。
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| 关 键 词： | 计算机科学 软件工程 分布式关联规则 分布式入侵检测 更新算法 |
Research on updating algorithm of association rules based on distributed intrusion detection |
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| PENG Guo-xing.Research on updating algorithm of association rules based on distributed intrusion detection[J].Journal of Central South Forestry University,2010,30(3). |
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| Authors: | PENG Guo-xing |
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| Institution: | PENG Guo-xing(College of Computer , Communication,Hunan University of Technology,Zhuzhou 412007,Hunan,China) |
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| Abstract: | In the research of intrusion dection which data mining technology was used,it was rared to see updating algorithm of the global frequent item sets in distrbuted database.This paper proposed a updating algorithm TDUA(trivial distributed update of association rules) in order to improve the efficiency of updaing algorithm in the case that invading data increased.The algorithm introduced the concept of frequent item sets strong and effectively prunes the number of candidate itemsets.It used the shared model arc... |
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| Keywords: | computer science software engineering distributed associatin rules algorithm distributed intrusion detection updating algorithms |
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