Federation Learning for Intrusion Detection Methods by Parse Convolutional Neural Network-Reference-Cited by-同舟云学术

Federation Learning for Intrusion Detection Methods by Parse Convolutional Neural Network

Published:2022-04-21 Issue: Volume: Page:
ISSN:
Container-title:2022 Second International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT)
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Author:

Luo Jiechen¹,Yang Xuelan²,Mohammed Muamer N.³

Affiliation:

1. Baoji University of Arts and Sciences,School of Computer Sciences,Baoji,China

2. Universiti Sains Malaysia,School of Computer Sciences,Penang,Malaysia,11800

3. Community College of Qatar (CCQ),Information Technology Department,Doha,Qatar

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9807685/9807649/09807989.pdf?arnumber=9807989

Reference21 articles.

1. Intrusion Detection Using Convolutional Neural Networks for Representation Learniiig[C]// Springer;zhipeng;International Conference on Neural Information Processing,2017

2. Mixed Pooling for Convolutional Neural Networks[C] //Springer;dingjun;Rough Sets and Knowledge Technology First International Conference,2014

3. An Empirical Study on Network Anomaly Detection Using Convolutional Neural NetworksfC]// IEEE;kwon;2018 IEEE 38th International Conference on Distributed Computing Systems,0

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

5. Convolutional Neural Network based sentiment analysis using Adaboost combination

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