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Using a Long Short-Term Memory Recurrent Neural Network (LSTM-RNN) to Classify Network Attacks
| Content Provider | MDPI |
|---|---|
| Author | Muhuri, Pramita Sree Chatterjee, Prosenjit Yuan, Xiaohong Roy, Kaushik Esterline, Albert |
| Copyright Year | 2020 |
| Description | An intrusion detection system (IDS) identifies whether the network traffic behavior is normal or abnormal or identifies the attack types. Recently, deep learning has emerged as a successful approach in IDSs, having a high accuracy rate with its distinctive learning mechanism. In this research, we developed a new method for intrusion detection to classify the NSL-KDD dataset by combining a genetic algorithm (GA) for optimal feature selection and long short-term memory (LSTM) with a recurrent neural network (RNN). We found that using LSTM-RNN classifiers with the optimal feature set improves intrusion detection. The performance of the IDS was analyzed by calculating the accuracy, recall, precision, f-score, and confusion matrix. The NSL-KDD dataset was used to analyze the performances of the classifiers. An LSTM-RNN was used to classify the NSL-KDD datasets into binary (normal and abnormal) and multi-class (Normal, DoS, Probing, U2R, and R2L) sets. The results indicate that applying the GA increases the classification accuracy of LSTM-RNN in both binary and multi-class classification. The results of the LSTM-RNN classifier were also compared with the results using a support vector machine (SVM) and random forest (RF). For multi-class classification, the classification accuracy of LSTM-RNN with the GA model is much higher than SVM and RF. For binary classification, the classification accuracy of LSTM-RNN is similar to that of RF and higher than that of SVM. |
| Starting Page | 243 |
| e-ISSN | 20782489 |
| DOI | 10.3390/info11050243 |
| Journal | Information |
| Issue Number | 5 |
| Volume Number | 11 |
| Language | English |
| Publisher | MDPI |
| Publisher Date | 2020-05-01 |
| Access Restriction | Open |
| Subject Keyword | Information Transportation Science and Technology Intrusion Detection System Long Short-term Memory Recurrent Neural Network Genetic Algorithm |
| Content Type | Text |
| Resource Type | Article |
