Robust Network Intrusion Detection Scheme Using Long-Short Term Memory Based Convolutional Neural Networks-Reference-Cited by-同舟云学术

Robust Network Intrusion Detection Scheme Using Long-Short Term Memory Based Convolutional Neural Networks

Published:2020-07-21 Issue:3 Volume:26 Page:1137-1144
ISSN:1383-469X
Container-title:Mobile Networks and Applications
language:en
Short-container-title:Mobile Netw Appl

Author:

Hsu Chia-Ming,Azhari Muhammad Zulfan,Hsieh He-Yen,Prakosa Setya Widyawan,Leu Jenq-Shiou^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Information Systems,Software

Link

https://link.springer.com/content/pdf/10.1007/s11036-020-01623-2.pdf

Reference20 articles.

1. Sharma S, Gupta RK (2015) Intrusion detection system: a reivew. Int. J. Secur. App. 9 (5):69–76

2. Revathi S, Malathi A (2013) A detailed analysis on NSL- KDD dataset using various machine learning techniques for intrusion detection. Int. J. Eng. Res. Technol 2:1848–1853

3. Dhanabal L, Shantharajah SP (2015) A study on NSL-KDD dataset for intrusion detection system based on classification algorithms. International Journal of Advanced Research in Computer and Communication Engineering 4:446–452

4. Kuang F, Xu W, Zhang S (2014) A novel hybrid KPCA and SVM with GA model for intrusion detection. Appl Soft Comput 18:178–184

5. Hettich S, Bay SD (1999) The UCI KDD Archive [http://kdd.ics.uci.edu]. Irvine, CA: University of California, Department of Information and Computer Science

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