A Comprehensive Survey for Machine Learning and Deep Learning Applications for Detecting Intrusion Detection-Reference-Cited by-同舟云学术

A Comprehensive Survey for Machine Learning and Deep Learning Applications for Detecting Intrusion Detection

Published:2021-12-21 Issue: Volume: Page:
ISSN:
Container-title:2021 22nd International Arab Conference on Information Technology (ACIT)
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Author:

Surakhi Ola M.,Garcia Antonio Mora,Jamoos Mohammed,Alkhanafseh Mohammad Y.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9677036/9677041/09677375.pdf?arnumber=9677375

Reference65 articles.

1. Intrusion Detection System in the Advanced Metering Infrastructure: A Cross-Layer Feature-Fusion CNN-LSTM-Based Approach;yao;SENSORS,2021

2. HCRNNIDS: Hybrid Convolutional Recurrent Neural Network-Based Network Intrusion Detection System

3. UNSW-NB15: A Comprehensive Data Set for Network Intrusion Detection Systems;moustafa;Military Communications and Information Systems Conference (MilCIS),2015

4. A detailed analysis of the KDD CUP 99 data set

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4. A Systematic and Comprehensive Survey of Recent Advances in Intrusion Detection Systems Using Machine Learning: Deep Learning, Datasets, and Attack Taxonomy;Journal of Sensors;2023-02-28

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