| 一种改进的内网用户行为审计模型研究 |
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| 引用本文： | 乔佩利,李明明.一种改进的内网用户行为审计模型研究[J].哈尔滨理工大学学报,2011,16(5):57-60. |
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| 作者姓名： | 乔佩利 李明明 |
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| 作者单位： | 哈尔滨理工大学计算机科学与技术学院,黑龙江哈尔滨,150080 |
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| 基金项目： | 哈尔滨市科技攻关项目(200812AA2CG037) |
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| 摘 要： | 目前,安全审计系统多是基于广域网网络数据的审计,对于内网用户行为审计还处于研究的初级阶段.传统的用户行为审计模型智能性低,集中式结构审计负担重,针对这一缺陷,提出了一种分布式内网用户行为审计模型,采用三级Agent结构,并融入了改进的遗传算法（IGA）的神经网络分析,最终实现对用户行为数据的分布采集,过滤传输和智能审计.
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| 关 键 词： | 内网安全 行为审计 Agent 遗传算法 神经网络 |
A Research on an Improved Intranet Users' Behavior Audit Model |
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| QIAO Pei-li,LI Ming-ming.A Research on an Improved Intranet Users' Behavior Audit Model[J].Journal of Harbin University of Science and Technology,2011,16(5):57-60. |
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| Authors: | QIAO Pei-li LI Ming-ming |
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| Affiliation: | QIAO Pei-li,LI Ming-ming (School of Computer Science and Technology,Harbin University of Science and Technology,Harbin 150080,China) |
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| Abstract: | Currently,most of the security audit systems are based on the audit of wide area network(WAN) data,and the audit of intranet users' behavior is still in the primary stage of research.The traditional audit model of users' behavior has low intelligence and the centralized structure audit has heavy burden.To deal with this deficiency,this thesis proposes a distributed intranet users' behavior audit model.This model adopts three-level Agent structure and incorporates improved neural network analysis of IGA.Fina... |
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| Keywords: | intranet security behavior audit Agent GA neural network |
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