李超建, 李露璐, 谢妙. 基于改进免疫遗传算法的网络流量分析算法[J]. 微电子学与计算机, 2013, 30(12): 164-166.
引用本文: 李超建, 李露璐, 谢妙. 基于改进免疫遗传算法的网络流量分析算法[J]. 微电子学与计算机, 2013, 30(12): 164-166.
LI Chao-jian, LI Lu-lu, XIE Miao. Algorithm on Analysis of Networks Traffic Based on Improving IGA[J]. Microelectronics & Computer, 2013, 30(12): 164-166.
Citation: LI Chao-jian, LI Lu-lu, XIE Miao. Algorithm on Analysis of Networks Traffic Based on Improving IGA[J]. Microelectronics & Computer, 2013, 30(12): 164-166.

基于改进免疫遗传算法的网络流量分析算法

Algorithm on Analysis of Networks Traffic Based on Improving IGA

  • 摘要: 文运用免疫遗传算法提出一种入侵检测流量关联规则提取方法,同时运用优化后的算法建立的入侵检测的模型对网络流量进行检测规则的提取,提高了检测器对流量分析的效率。实验结果表明,该算法能高效地解决入侵检测中流量分析关联规则提取问题,并且其效率优于传统算法。

     

    Abstract: The paper first present a solution on obtain association rule of networks traffic detection based on immune genetic Algorithm,and apply optimizing algorithm to build intrusion detection model improve the networks traffic analysis show more efficiency in Instruction detection.The experimental results prove that the algorithm has more performance in IDS analyses traffic association rule mining problem than traditional algorithm.

     

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