Research on Intrusion Detection Algorithm Based on Optimized CNN-LSTM
Author:
Affiliation:
1. School of Computer Science, Xijing University,Xi'an,China
2. School of Electronic Information, Xijing University,Xi'an,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9985010/9984997/09985159.pdf?arnumber=9985159
Reference19 articles.
1. Intrusion Detection Model Based on ICA Algorithm and Deep Neural Network;jinghao;Information Network Security,2019
2. An LSTM-based Convolutional Neural Network Abnormal Traffic Detection Method;jieyuan;Information technology and network security,2021
3. Intrusion Detection Based on Convolutional Neural Network in Complex Network Environment
4. CNID: Research of Network Intrusion Detection Based on Convolutional Neural Network
5. Intrusion Detection of Camouflaged Users Based on CNN and LSTM Deep Networks;yi;Computer Science and Exploration,2018
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1. Detection And Prevention of Malicious Activities In Vulnerable Network Security Using Deep Learning;2024 International Conference on Innovations and Challenges in Emerging Technologies (ICICET);2024-06-07
2. Network Data Detection for Information Security Using CNN-LSTM Model;2023 9th International Conference on Big Data and Information Analytics (BigDIA);2023-12-15
3. Convolutional Neural Network Based Algorithm for Intrusion Detection in Internet of Things Databases;2023 International Conference on New Trends in Computational Intelligence (NTCI);2023-11-03
4. Vehicular Network Intrusion Detection Using a Cascaded Deep Learning Approach with Multi-Variant Metaheuristic;Sensors;2023-10-27
5. High Performance Network Intrusion Detection System Using Two-Stage LSTM and Incremental Created Hybrid Features;Electronics;2023-02-15
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