|Network intrusion detection model based on multivariate correlation analysis - long short-time memory network|
|Dong, Rui-Hong; Li, Xue-Yong; Zhang, Qiu-Yu; Yuan, Hui
|Source Publication||IET INFORMATION SECURITY
|Abstract||For the purpose of improving the low detection performance of network intrusion detection model caused by high-dimensional data, and from the perspective of time correlation characteristics of intrusion detection datasets, the authors present a network intrusion detection model based on the multivariate correlations analysis - long short-term memory network (MCA-LSTM). Firstly, this model selects the optimal feature subsets through the information gain feature selection method, the MCA module is then used to change the feature subset into the triangle area map (TAM) matrix, and finally inputs the TAM matrix into the LSTM module for the training and testing purpose. To better demonstrate the performance of the proposed model, it is compared with those of convolutional neural networks, recurrent neural network, deep forest, support vector machine, and k-nearest neighbour methods proposed by the previous researchers. Experimental results show that the testing accuracy of the proposed model on 5-classification task using NSL-KDD dataset is up to 82.15%, and that on 10-classification task using UNSW-NB15 dataset is up to 77.74%. Moreover, compared with the traditional machine learning and existing deep learning models, the proposed model has shown to achieve better classification detection performance.|
|Keyword||support vector machines
security of data
recurrent neural nets
learning (artificial intelligence)
network intrusion detection model
multivariate correlation analysis
short-time memory network
low detection performance
time correlation characteristics
intrusion detection datasets
multivariate correlations analysis
short-term memory network
information gain feature selection method
convolutional neural networks
recurrent neural network
classification detection performance
|Funding Project||National Natural Science Foundation of China
|WOS Research Area||Computer Science
|WOS Subject||Computer Science, Information Systems
; Computer Science, Theory & Methods
|Publisher||INST ENGINEERING TECHNOLOGY-IET
|Corresponding Author||Zhang, Qiu-Yu|
|Affiliation||Lanzhou Univ Technol, Sch Comp & Commun, Lanzhou 730050, Gansu, Peoples R China|
|First Author Affilication||Lanzhou University of Technology
|Corresponding Author Affilication||Lanzhou University of Technology
|First Signature Affilication||Lanzhou University of Technology
Dong, Rui-Hong,Li, Xue-Yong,Zhang, Qiu-Yu,et al. Network intrusion detection model based on multivariate correlation analysis - long short-time memory network[J]. IET INFORMATION SECURITY,2020,14(2):166-174.
Dong, Rui-Hong,Li, Xue-Yong,Zhang, Qiu-Yu,&Yuan, Hui.(2020).Network intrusion detection model based on multivariate correlation analysis - long short-time memory network.IET INFORMATION SECURITY,14(2),166-174.
Dong, Rui-Hong,et al."Network intrusion detection model based on multivariate correlation analysis - long short-time memory network".IET INFORMATION SECURITY 14.2(2020):166-174.
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