Stochastic Gradient Descent Intrusions Detection for Wireless Sensor Network Attack Detection System Using Machine Learning-Reference-Cited by-同舟云学术

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Stochastic Gradient Descent Intrusions Detection for Wireless Sensor Network Attack Detection System Using Machine Learning

Published:2024 Issue: Volume:12 Page:3825-3836
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Saleh Hadeel M.¹^ORCID,Marouane Hend²,Fakhfakh Ahmed³

Affiliation:

1. Continuing Education Center, University of Anbar, Ramadi, Iraq

2. National School of Electronics and Telecommunications (ENET'COM), NTS'COM Laboratory, Safax University, Sfax, Tunisia

3. Digital and Numeric Research Center of Safax (CRNS), Sfax, Tunisia

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10379637.pdf?arnumber=10379637

Cited by 11 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. Dynamically stabilized recurrent neural network optimized with intensified sand cat swarm optimization for intrusion detection in wireless sensor network;Computers & Security;2025-01

2. Enhancing agricultural wireless sensor network security through integrated machine learning approaches;SECURITY AND PRIVACY;2024-07-02

3. Automated Sensor Node Malicious Activity Detection with Explainability Analysis;Sensors;2024-06-07

4. Attack Detection with Optimal PSO Feature Selection with DTOHE Model;SN Computer Science;2024-05-18

5. OCCOA for clustering-based intrusion detection system with MLP-RNN architecture;Multimedia Tools and Applications;2024-05-03

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