Technology of Information Security
|
3063-3068

Parallel network intrusion detection method based on ReliefF and improved crow search optimization

Ma Chao
School of Digital Media, Shenzhen Institute of Information Technology, Shenzhen Guangdong 518172, China

Abstract

The increase of network data leads to the increase of computation complexity and time cost, in order to further improve the detection accuracy and efficiency of network intrusion detection, this paper proposed a novel algorithm RICSA-KELM. Firstly, it used filter method ReliefF to remove the irrelevant features and noises, and reduced the feature dimension. Secondly, it used wrapper method to select optimal feature subset which based on improved crow search algorithm(ICSA), and optimized parameters of kernel extreme learning machine(KELM). Moreover, it designed a linear-weighted multi-objective function to minimize false alarm rate and the number of feature subsets while considering the maximum classification accuracy. At last, RICSA-KELM implemented in parallel on multi-core processor by using OpenMP to speed up the search and optimization process. Experiment on KDD99 dataset and UNSW-NB15 dataset, by means of the experimental analysis and comparison with ELM, SVM and KNN, the proposed method not only improves the detection accuracy and detection efficiency, but also achieves lower false positive rate, it proves that the validity of the proposed method.

Foundation Support

国家自然科学基金青年基金资助项目(61303113)
广东省自然科学基金资助项目(2016A030310072)
深圳市科技计划项目(KJYY20170724152553858)
广东省教育厅重点平台及科研项目特色创新类项目(2017GWTSCX040)
深圳市2017年度规划课题(ybzz17011,ybzz17009,zdzz17005)
校级科研课题项目(QN201716)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.06.0309
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 10
Section: Technology of Information Security
Pages: 3063-3068
Serial Number: 1001-3695(2019)10-040-3063-06

Publish History

[2019-10-05] Printed Article

Cite This Article

马超. 基于ReliefF和改进乌鸦搜索优化的并行入侵检测方法 [J]. 计算机应用研究, 2019, 36 (10): 3063-3068. (Ma Chao. Parallel network intrusion detection method based on ReliefF and improved crow search optimization [J]. Application Research of Computers, 2019, 36 (10): 3063-3068. )

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  • Application Research of Computers Monthly Journal
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Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

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