| 基于模糊聚类的Linux网络动态入侵检测 |
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| 引用本文： | 于东敏,史建政.基于模糊聚类的Linux网络动态入侵检测[J].微电子学与计算机,2012,29(3):136-139. |
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| 作者姓名： | 于东敏 史建政 |
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| 作者单位： | 1. 河北工业大学廊坊分校,河北廊坊,065000
2. 廊坊职业技术学院计算机系,河北廊坊,065000 |
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| 基金项目： | 教育部高职委资助项目，河北省教育厅教学改革立项支持项目 |
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| 摘 要： | 提出基于模糊聚类的Linux系统异常入侵检测方式,通过对网络动态信息进行分类检测,能够降低入侵检测的漏检率,动态检测出网络数据入侵程序,避免了传统方式的缺陷.实验证明,利用基于模糊聚类的入侵检测方式能够快速、准确的检测出入侵程序,保证Linux系统安全.
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| 关 键 词： | 模糊聚类 相关数据集合 入侵检测 |
Based on the Fuzzy Clustering Linux Network Dynamic Intrusion Detection |
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| YU Dong-min,SHI Jian-zheng.Based on the Fuzzy Clustering Linux Network Dynamic Intrusion Detection[J].Microelectronics & Computer,2012,29(3):136-139. |
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| Authors: | YU Dong-min SHI Jian-zheng |
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| Affiliation: | 1 Langfang Department,Hebei University of Technology,Langfang 065000,China; 2 Department of Compuer,Langfang Polytechnic Institue,Langfang 065000,China) |
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| Abstract: | In order to improve the security of the system,make the fuzzy clustering Linux system anomaly intrusion detection mode,through the network information classification the dynamic test,can reduce the intrusion detection miss rate,dynamic to detect the network data flow under the condition of the invasion of the larger program,avoid the traditional way of intrusion detection.It is proved by experiment based on fuzzy clustering of intrusion detection means to be able to quickly and accurately,to detect the invasion and procedures to ensure the Linux system system security. |
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| Keywords: | fuzzy clustering related data sets intrusion detection |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
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