A Novel Two-Stage Deep Learning Model for Network Intrusion Detection: LSTM-AE-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

A Novel Two-Stage Deep Learning Model for Network Intrusion Detection: LSTM-AE

Published:2023 Issue: Volume:11 Page:37131-37148
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Hnamte Vanlalruata¹^ORCID,Nhung-Nguyen Hong²^ORCID,Hussain Jamal¹^ORCID,Hwa-Kim Yong³^ORCID

Affiliation:

1. Department of Mathematics and Computer Science, Mizoram University, Aizawl, India

2. Department of Information Technology, Viet Tri University of Industry, Viet Tri, Vietnam

3. Department of Data Science, Korea National University of Transportation, Uiwang, Republic of Korea

Funder

Korea Institute of Energy Technology Evaluation and Planning (KETEP) and the Ministry of Trade, Industry & Energy (MOTIE) of the Republic of Korea

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10101759.pdf?arnumber=10101759

Reference58 articles.

1. A novel IoT network intrusion detection approach based on Adaptive Particle Swarm Optimization Convolutional Neural Network

2. IGAN-IDS: An imbalanced generative adversarial network towards intrusion detection system in ad-hoc networks

3. Deep neural networks for the evaluation and design of photonic devices

4. Hybrid intrusion detection and signature generation using Deep Recurrent Neural Networks

5. LSTM for Anomaly-Based Network Intrusion Detection

Cited by 45 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. Abnormal traffic detection for Internet of Things based on an improved Residual Network;Physical Communication;2024-10

2. Residual Dense Optimization-Based Multi-Attention Transformer to Detect Network Intrusion against Cyber Attacks;Applied Sciences;2024-09-03

3. Comparative Analysis of Deep Convolutional Neural Network—Bidirectional Long Short-Term Memory and Machine Learning Methods in Intrusion Detection Systems;Applied Sciences;2024-08-08

4. Effects of feature selection and normalization on network intrusion detection;Data Science and Management;2024-08

5. A hierarchical hybrid intrusion detection model for industrial internet of things;Peer-to-Peer Networking and Applications;2024-07-18

同舟云学术

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