Network Intrusion Detection CNN Model for Realistic Network Attacks Based on Network Traffic Classification
Author:
Affiliation:
1. Arab Academy for Science, Technology and Maritime Transport,Cairo,Egypt
2. Helwan University,Faculty of Computer and Artificial Intelligence,Cairo,Egypt
3. National Telecommunication Institute,Cairo,Egypt
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10152868/10152871/10152872.pdf?arnumber=10152872
Reference24 articles.
1. DAE-BILSTM: A Fog-Based Intrusion Detection Model Using Deep Learning for IoT;selim;Journal of Theoretical and Applied Information Technology,2023
2. An Intrusion Detection Model based on a Convolutional Neural Network
3. Effective network intrusion detection by addressing class imbalance with deep neural networks multimedia tools and applications
4. Deep Learning for Improving Attack Detection System Using CSE-CICIDS-2018;hagar;NeuroQuantology,2022
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. Residual Dense Optimization-Based Multi-Attention Transformer to Detect Network Intrusion against Cyber Attacks;Applied Sciences;2024-09-03
2. An Efficient Reinforcement Learning Based Approach For SDN Controller Placement Optimization;2024 41st National Radio Science Conference (NRSC);2024-04-16
3. Multi-Class Threat Detection Using Neural Network and Machine Learning Approaches in Kubernetes Environments;2024 6th International Conference on Computing and Informatics (ICCI);2024-03-06
4. A Holistic Review on Detection of Malicious Browser Extensions and Links using Deep Learning;2024 IEEE 3rd International Conference on AI in Cybersecurity (ICAIC);2024-02-07
5. A Model for Predicting IoT User Behavior Based on Bayesian Learning and Neural Networks;Journal of Computer Networks and Communications;2024-01
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3