| 基于模糊聚类的入侵检测算法 |
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| 引用本文： | 徐世国,令狐大智.基于模糊聚类的入侵检测算法[J].辽宁工程技术大学学报(自然科学版),2008,27(6). |
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| 作者姓名： | 徐世国 令狐大智 |
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| 作者单位： | 1. 辽宁工程技术大学,力学与工程学院,辽宁,阜新,123000
2. 河北科技大学,建筑工程学院,河北,石家庄,050018 |
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| 基金项目： | 广西教育厅科研基金资助项目
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广西财经学院科技基金资助项目
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| 摘 要： | 针对数据中各个字段属性差异及其对产生入侵行为的作用度分析不足,从缓解模糊入侵检测中误差率高入手,验证其中存在的等价转换失真问题,用动态自反馈理论改造模糊聚类过程,并分析入侵数据类型及其在入侵中所起作用,建立面向混合数据的自反馈模糊聚类方法,并在此基础上构建入侵检测系统.实验表明本方法能够有效提高入侵检测引擎的检测率,降低其误报率,缓解上述问题.
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| 关 键 词： | 入侵检测 模糊聚类 自反馈 |
Intrusion detecting algorithm based on fuzzy cluster |
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| XU Shiguo,LINGHU Dazhi.Intrusion detecting algorithm based on fuzzy cluster[J].Journal of Liaoning Technical University (Natural Science Edition),2008,27(6). |
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| Authors: | XU Shiguo LINGHU Dazhi |
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| Institution: | XU Shiguo LINGHU Dazhi(1.College of Electronics , Information Engineering,Liaoning Technical University,Huludao 125105,China,2.Department of Computer , Information Management,Guangxi College of Finance , Economics,Nanning 530003,China) |
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| Abstract: | In view of the differences in the attributes of each word section in the data and the deficiency in analyzing the role degree of intrusion and for the purpose of mitigating the high error rate in fuzzy intrusion detection,the problem of equivalent conversion distortion was tested and verified and fuzzy clustering process was reformed with dynamic seef feed back theory.The types of intrusion data and their roles in the intrusion were analyzed.The seef feedback fuzzy clustering method for mixed data was estab... |
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| Keywords: | FCMBP |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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