| 粒子群算法网络异常检测技术研究 |
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| 引用本文： | 赵菲.粒子群算法网络异常检测技术研究[J].科技通报,2012,28(4):128-129,158. |
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| 作者姓名： | 赵菲 |
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| 作者单位： | 泸州职业技术学院,四川泸州,646005 |
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| 摘 要： | 提出了一种新的基于粒子群算法入侵检测方法模型。算法采用粒子群优化算法,有效地降低网络拓扑路径长度,通过优化算法来寻找聚类的中心。实验结果表明,提出的改进算法与传统的入侵检测算法相比,具有更好的入侵识别率和检测率。
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| 关 键 词： | 网络异常 粒子群算法 网络安全 入侵检测 |
Particle Swarm Algorithm for Network Anomaly Detection Technology Research |
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| ZHAO Fei.Particle Swarm Algorithm for Network Anomaly Detection Technology Research[J].Bulletin of Science and Technology,2012,28(4):128-129,158. |
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| Authors: | ZHAO Fei |
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| Institution: | ZHAO Fei(Luzhou institute of technology of profession of 646005,Luzhou Sichuan,China) |
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| Abstract: | This paper presents a new intrusion detection method based on particle swarm optimization model.Algorithm using particle swarm optimization algorithm,effectively reduce the network topological path length,the optimization algorithm to find the clustering center.The experimental results show that the proposed algorithm,and the traditional intrusion detection algorithm,has better intrusion recognition rate and detection rate |
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| Keywords: | network anomaly particle swarm algorithm network security intrusion detection |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
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