Intrusion Classifier based on Multiple Attribute Selection Algorithms
作者： Weiwu Ren , Liang Hu , Kuo Zhao , Jianfeng Chu , Bing Jia
DOI: 10.4304/JCP.8.10.2536-2543
关键词:
摘要: with the rapid growth of attack patterns, number attributes for detecting attacks gradually increased. Moreover, an automatic classification method, as next thing intrusion detection, is needed. For solving above problems, classifier based on multiple attribute selection algorithms has been proposed. The includes various combinations different representative and algorithms. A series experimental results well-known KDD Cup 1999 data sets indicate real time performance performances combinations.
jcomputers.us
sci-hub.st 参考文章(14)
Levent Koc, Thomas A. Mazzuchi, Shahram Sarkani, A network intrusion detection system based on a Hidden Naïve Bayes multiclass classifier Expert Systems With Applications. ,vol. 39, pp. 13492- 13500 ,(2012) , 10.1016/J.ESWA.2012.07.009
Guangtao Wang, Qinbao Song, Baowen Xu, Yuming Zhou, Selecting feature subset for high dimensional data via the propositional FOIL rules Pattern Recognition. ,vol. 46, pp. 199- 214 ,(2013) , 10.1016/J.PATCOG.2012.07.028
Nabil EL KADHI, Karim HADJAR, Nahla EL ZANT, A Mobile Agents and Artificial Neural Networks for Intrusion Detection Journal of Software. ,vol. 7, pp. 156- 160 ,(2012) , 10.4304/JSW.7.1.156-160
Yuesheng Gu, Yongchang Shi, Jianping Wang, Efficient Intrusion Detection Based on Multiple Neural Network Classifiers with Improved Genetic Algorithm Journal of Software. ,vol. 7, pp. 1641- 1648 ,(2012) , 10.4304/JSW.7.7.1641-1648
Shih-Wei Lin, Kuo-Ching Ying, Chou-Yuan Lee, Zne-Jung Lee, None, An intelligent algorithm with feature selection and decision rules applied to anomaly intrusion detection soft computing. ,vol. 12, pp. 3285- 3290 ,(2012) , 10.1016/J.ASOC.2012.05.004
Mansour Sheikhan, Zahra Jadidi, Ali Farrokhi, Intrusion detection using reduced-size RNN based on feature grouping Neural Computing and Applications. ,vol. 21, pp. 1185- 1190 ,(2012) , 10.1007/S00521-010-0487-0
Fatemeh Amiri, MohammadMahdi Rezaei Yousefi, Caro Lucas, Azadeh Shakery, Nasser Yazdani, Mutual information-based feature selection for intrusion detection systems Journal of Network and Computer Applications. ,vol. 34, pp. 1184- 1199 ,(2011) , 10.1016/J.JNCA.2011.01.002
Yuk Ying Chung, Noorhaniza Wahid, A hybrid network intrusion detection system using simplified swarm optimization (SSO) soft computing. ,vol. 12, pp. 3014- 3022 ,(2012) , 10.1016/J.ASOC.2012.04.020
Ding Yuxin, Yuan Xuebing, Zhou Di, Dong Li, An Zhanchao, Feature representation and selection in malicious code detection methods based on static system calls Computers & Security. ,vol. 30, pp. 514- 524 ,(2011) , 10.1016/J.COSE.2011.05.007
Hongying Zheng, Meiju Hou, Yu Wang, None, An Efficient Hybrid Clustering-PSO Algorithm for Anomaly Intrusion Detection Journal of Software. ,vol. 6, pp. 2350- 2360 ,(2011) , 10.4304/JSW.6.12.2350-2360