Using Machine Learning to Detect DoS Attacks in Wireless Sensor Networks-Reference-Cited by-同舟云学术

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Using Machine Learning to Detect DoS Attacks in Wireless Sensor Networks

Published:2019-04 Issue: Volume: Page:
ISSN:
Container-title:2019 IEEE Jordan International Joint Conference on Electrical Engineering and Information Technology (JEEIT)
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Author:

Al-issa Abdulaziz I.,Al-Akhras Mousa,ALsahli Mohammed S.,Alawairdhi Mohammed

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8713425/8717365/08717400.pdf?arnumber=8717400

Cited by 33 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. Multi-Objective Optimization for Coverage and Connectivity in Wireless Sensor Networks;2024 13th International Conference on Modern Circuits and Systems Technologies (MOCAST);2024-06-26

2. Enhancing Coverage in Wireless Sensor Networks Using Machine Learning Techniques;2024 4th Interdisciplinary Conference on Electrics and Computer (INTCEC);2024-06-11

3. Intrusion Detection Schemes Based on Synthetic Minority Oversampling Technique and Machine Learning Models;2024 IEEE 27th International Symposium on Real-Time Distributed Computing (ISORC);2024-05-22

4. Understanding Energy Consumption behavior by Analyzing Security Impacts and Mitigation Strategies in a Critical Wireless Sensor Networks;2024 4th International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET);2024-05-16

5. Intrusion detection in machine learning based E-shaped structure with algorithms, strategies and applications in wireless sensor networks;Heliyon;2024-05

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