| 基于克隆聚类的企业IDS的研究 |
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| 引用本文： | 林辉,朱俊平. 基于克隆聚类的企业IDS的研究[J]. 价值工程, 2011, 30(21): 144-145 |
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| 作者姓名： | 林辉 朱俊平 |
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| 作者单位： | 渭南师范学院,渭南,714000 |
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| 摘 要： | 在论述克隆聚类的基本概念及其特点的基础上,探讨了基于克隆聚类的农产品加工企业IDS的优势。根据农产品加工企业的实际需求,重点介绍了无监督的克隆聚类算法,设计并实现了基于克隆聚类算法的入侵检测系统,最后使用KDD CUP 99数据集进行了计算机仿真实验,结果表明能够显著提高检测率和降低误报率。
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| 关 键 词： | 计算机应用 入侵检测 克隆聚类 无监督异常检测 |
Research of Farm Produce Processing Enterprise Intrusion Detection System Based on Clone Clustering |
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| Lin Hui,Zhu Junping. Research of Farm Produce Processing Enterprise Intrusion Detection System Based on Clone Clustering[J]. Value Engineering, 2011, 30(21): 144-145 |
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| Authors: | Lin Hui Zhu Junping |
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| Affiliation: | Lin Hui;Zhu Junping(Weinan Teachers University,Weinan 714000,China) |
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| Abstract: | On the base of discussing the basic concepts and characters of clone clustering,the advantage of IDS is explored based on clone clustering.According to the farm actual demand of produce processing enterprise,the clone clustering algorithm is mainly presented,the intrusion detection system CCIDS（clone clustering based intrusion detection system） based on algorithm CC is designed and implemented.finally,the experimental results using KDD CUP99 dataset show that this algorithm can achieve higher detection rate of known or unknown attacks and lower false positive rate. |
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| Keywords: | computer application intrusion detection clone clustering unsupervised anomaly detection |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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