| 基于人工免疫网络的聚类可行解求解算法 |
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| 引用本文： | 魏娜,黄学宇,高山.基于人工免疫网络的聚类可行解求解算法[J].计算机工程与应用,2009,45(28):154-155. |
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| 作者姓名： | 魏娜 黄学宇 高山 |
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| 作者单位： | 1.西安空军工程大学，西安 710051 ;2.西安空军工程大学 导弹学院，西安 713800 ;3.西安空军工程大学 工程学院，西安 710038 |
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| 摘 要： | 网络特征数据集中可能包含未知的入侵模式，因此不能预先设定聚类簇的数量，为了在保持聚类分析精度的前提下提高动态聚类算法的效率，提出了可划分聚类数据集的聚类可行解的概念，设计了一种基于人工免疫网络的聚类可行解的获取算法，并对算法获得聚类可行解的条件和概率进行了一定的理论分析。
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| 关 键 词： | 人工免疫 网络 聚类可行解 |
| 收稿时间： | 2008-5-28 |
| 修稿时间： | 2008-9-19
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Research of abnormal detection algorithm based on artificial immune clustering |
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| WEI Na,HUANG Xue-yu,GAO Shan.Research of abnormal detection algorithm based on artificial immune clustering[J].Computer Engineering and Applications,2009,45(28):154-155. |
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| Authors: | WEI Na HUANG Xue-yu GAO Shan |
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| Affiliation: | 1.Air Force Engineering University，Xi’an 710051，China 2.Missile Institute，Air Force Engineering University，Xi’an 713800，China 3.Engineering Institute，Air Force Engineering University，Xi’an 710038，China |
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| Abstract: | Because some unknown intrusion mode may be included in the network connection feature dataset，the number of clusters can not be assigned pre-clustering，which means that we need dynamic clustering analysis algorithm to establish the intrusion model from the connection dataset.In order to improve the algorithm efficiency without sacrificing the clustering precision，this paper presents a concept called as Clustering Feasible Solution（CFS） and designs an algorithm to get CFS from dataset through artificial immune network.The probability and conditions to get CFS are discussed at the same time. |
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| Keywords: | artificial immune network Clustering Feasible Solution（CFS） |
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