肖立中,邵志清,马汉华,等.网络人侵检测中的自动决定聚类数算法[J].软件学报,2008,19(8):2140-2148.DOI:10.3724/SP.J.1001.2008.02140.XIAO L Z,SHAO Z Q,MA H H,et al.An algorithm for automatic clustering number determination in networks intrusion detection[J].Journal of Software,2008,19(8):2140-2148.DOI:10.3724/SP.J.1001.2008.02140(Ch).
[2]
钱燕燕,李永忠,余西亚.基于多标记与半监督学习的人侵检测方法研究[J].计算机科学,2015,42(2):134-136.DOI:10.11896/j.issn.1002-137X.2015.2.029.QIAN Y Y,LI Y Z,YU X Y.Intrusion detection method based on multi-label and semi-supervised learning[J].Computer Science,2015,42(2):134-136.DOI:10.11896/j.issn.1002-137X.2015.2.029(Ch).
[3]
罗敏,王丽娜,张焕国.基于无监督聚类的人侵检测方法[J].电子学报,2003,31(11):1713-1716.DOI:10.3321/j.issn:0372-2112.2003.11.028.LUO M,WANG L N,ZHANG H G.An unsupervised clustering-based intrusion detection method[J].Acta Electronica Sinica,2003,31(11):1713-1716.DOI:10.3321/j.issn:0372-2112.2003.11.028(Ch).
[4]
梁碧珍,陆月然,杨旭光.一种基于相对距离竞争激活的网络人侵检测算法[J].计算机工程与科学,2011,33(9):13-18.DOI:10.3969/j.issn.1007-130X.2011.09.003.LIANG B Z,LU Y R,YANG X G.A network intrusion detection algorithm based on relative distance competitive activation[J].Computer Engineering&Science,2011,33(9):13-18.DOI:10.3969/j.issn.1007-130X.2011.09.003(Ch).
[5]
魏明军,王月月,金建国.一种改进免疫算法的人侵检测设计[J].西安电子科技大学学报,2016,43(2):126-131.DOI:10.3969/j.issn.1001-2400.2016.02.022.WEI M J,WANG Y Y,JIN J G.Intrusion detection design of the improved immune algorithm[J].Journal of Xidian University,2016,43(2):126-131.DOI:10.3969/j.issn.1001-2400.2016.02.022(Ch).
[6]
CHEN T,HONG Z.A novel feature gene selection method based on neighborhood mutual information[J].International Journal of Hybrid In formation Technology,2015,7(8):277-292.DOI:10.14257/ijhit.2015.8.7.26.
[7]
TAVALLAEE M,BAGHERI E,LU W,et al.A detailed analysis of the KDD CUP 99 data set[C]//IEEE International Conference on Computational Intelligence for Security and Defense Applications.New York:IEEE Press,2009:53-58.
[8]
CAI Z P,WANG Z J,ZHEN G K,et al.A distributed TCAM coprocessor architecture for integrated longest prefix matching,policy filtering,and content filtering[J].IEEE Trans Computers,2013,62(3):417-427.DOI:10.1109/TC.2011.255.
[9]
张逸群.对决策树连续值找分割点的算法的改进[J].计算机光盘软件与应用,2013(23):116-117.ZHANG Y Q.The Improvement of the algorithm for determining the splitting point of continuous decision tree[J].Computer CD Software and Ap plications2013(23):116-117(Ch).
[10]
姚亚夫,邢留涛.决策树C4.5连续属性分割阈值算法改进及其应用[J].中南大学学报(自然科学版),2011,42(12):3772-3776.YAO Y F,XING L T.Improvement of C4.5 decision tree continuous attributes segmentation threshold algorithm and its application[J].Journal o f Central South University(Science and Technology),2011,42(12):3772-3776(Ch).
[11]
张辉宜,谢业名.一种基于概率的卡方特征选择方法[J].计算机工程,2016,42(8):194-198.DOI:10.3969/j.issn.1000-3428.2016.08.035.ZHANG H Y,XIE Y M.A method of CHI-square feature selection based on probability[J].Computer Engineering,2016,42(8):194-198.DOI:10.3969/j.issn.1000-3428.2016.08.035(Ch).
[12]
黄东.Bad:基于最小描述长度的均衡离散化方法[J].计算机工程与科学,2011,33(12):130-135.DOI:10.3969/j.issn.1007-130X.2011.12.024.HUANG D.Bad:A balanced discretization algorithm based on the minimum description length[J].Computer Engineering and Science,2011,33(12):130-135.DOI:10.3969/j.issn.1007-130X.2011.12.024(Ch).
[13]
李洋,方滨兴,郭莉,等.基于主动学习和TCM-KNN方法的有指导人侵检测技术[J].计算机学报,2007,30(8):1464-1473.DOI:10.3321/j.issn:0254-4164.2007.08.029.LI Y,FANG B X,GUO L,et al.Supervised intrusion detection based on active learning and TCM-KNN algorithm[J].Chinese Journal of Computers,2007,30(8):1464-1473.DOI:10.3321/j.issn:0254-4164.2007.08.029(Ch).
[14]
刘珊珊,谢晓尧,景凤宣,等.基于PCA的PSO-BP人侵检测研究[J].计算机应用研究,2016,33(9):2795-2798.DOI:10.3969/j.issn.1001-3695.2016.09.054.LIU S S,XIE X Y,JING F X,et al.Research on network intrusion detection based on PCA PSO-BP[J].Application Research of Computers,2016,33(9):2795-2798.DOI:10.3969/j.issn.1001-3695.2016.09.054(Ch).
[15]
YOON M K,MOHAN S,CHOI J,et al.Learning execution contexts from system call distributions for intrusion detection in embedded systems[J].Com puter Science,2015,42(1):349-355.
