A novel method for feature learning and network intrusion classification-Reference-Cited by-同舟云学术

A novel method for feature learning and network intrusion classification

Published:2020-06 Issue:3 Volume:59 Page:1159-1169
ISSN:1110-0168
Container-title:Alexandria Engineering Journal
language:en
Short-container-title:Alexandria Engineering Journal

Author:

Alzahrani Ahmed S.,Shah Reehan Ali,Qian Yuntao,Ali Munwar

Publisher

Elsevier BV

Subject

General Engineering

Reference45 articles.

1. Network intrusion detection through discriminative feature selection by using sparse logistic regression;Shah;Future Internet,2017

2. Analysis of network attack and defense strategies based on Pareto optimum;Sun;Electronics,2018

3. An efficient likelihood-based modulation classification algorithm for multiple-input multiple-output systems;Bahloul;J. Comput. Theor. Nanosci.,2016

4. E. s. European and C. C. (EC3). (2017). Available: https://www.europol.europa.eu/activities-services/main-reports/internet-organised-crime-threat-assessment-iocta-2017.

5. Modulation classification for MIMO systems: State of the art and research directions;Bahloul;Chaos, Solitons Fractals,2016

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Framework for identifying network attacks through packet inspection using machine learning;Nonlinear Engineering;2023-01-01

2. Intrusion Detection using Deep Neural Network Algorithm on the Internet of Things;2022 IEEE International Conference on Communication, Networks and Satellite (COMNETSAT);2022-11-03

3. Enhancement of blood pressure estimation method via machine learning;Alexandria Engineering Journal;2021-12

4. Modelling and Evaluation of Network Intrusion Detection Systems Using Machine Learning Techniques;International Journal of Intelligent Information Technologies;2021-10

5. Texture-based latent space disentanglement for enhancement of a training dataset for ANN-based classification of fruit and vegetables;Information Processing in Agriculture;2021-10