Network Intrusion Detection using Combined Deep Learning Models: Literature Survey and Future Research Directions

被引：0

作者：

Idrissi, Hamza Kamal ^{[1
]}

Kartit, Ali ^{[2
]}

机构：

[1] STRS Laboratory, National Institute of Posts and Telecommunications (INPT), Rabat,10112, Morocco

[2] LTI Laboratory, National School of Applied Sciences of El Jadida (ENSAJ), Chouaib Doukkali University, El Jadida,24002, Morocco

来源：

IAENG International Journal of Computer Science | 2024年 / 51卷 / 08期

关键词：

Compendex;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

Anomaly detection - Cybersecurity - Deep learning - Extraction - Intrusion detection - Learning systems - Zero-day attack

引用

页码：998 / 1010

共 7 条

[1] Machine Learning and Deep Learning Architectures for Intrusion Detection System (IDS): A Survey
Thankappan, Manesh
Narayanan, Nikhil
Sanaj, M.S.
Manoj, Anusha
Menon, Aravind P.
Gokul Krishna, M.
2024 1st International Conference on Trends in Engineering Systems and Technologies, ICTEST 2024, 2024,
[2] Deep Learning Models: Vulnerability Mining Research for Network Security
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International Journal of Network Security, 2023, 25 (05) : 872 - 878
[3] A Study on Self-Configuring Intrusion Detection Model based on Hybridized Deep Learning Models
Computer Department, Thadomal Sahani Engineering College, Bandra West, Maharashtra, Mumbai
400050, India
Proc. - Int. Conf. Comput. Methodol. Commun., ICCMC, (303-309):
[4] Network Intrusion Detection and Prevention System Using Hybrid Machine Learning with Supervised Ensemble Stacking Model
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Acquah, Daniel K.
Sowah, Robert A.
JOURNAL OF COMPUTER NETWORKS AND COMMUNICATIONS, 2024, 2024
[5] Hepatic encephalopathy detection using deep learning based optimized spiking neural network
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Suthendran, Dr K.
Measurement: Sensors, 2024, 32
[6] Jaya-Mutated Leader Algorithm Based Deep Feed Forward Neural Network for Intrusion Detection Using Cloud Computing
Mahajan, Kirti
Alhasen, Saeed
Chaudhari, Deepti
Sharanyaa, S.
Agrawal, Deepti
Cybernetics and Systems, 2022,
[7] Crypto-ransomware detection using machine learning models in file-sharing network scenarios with encrypted traffic
Berrueta, Eduardo
Morato, Daniel
Magaña, Eduardo
Izal, Mikel
Expert Systems with Applications, 2022, 209

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