Research on Intrusion Detection Algorithm Based on Optimized CNN-LSTM

Author:

Jiawei Du1,Kai Yang1,Zhentao Huang2,Lingjie Jiang2,Lei Huang2,Haixia Yu1

Affiliation:

1. School of Computer Science, Xijing University,Xi'an,China

2. School of Electronic Information, Xijing University,Xi'an,China

Publisher

IEEE

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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