An Efficient DDoS Attack Detection Using Chaos Henry Gas Solubility Optimization Weight Initialization Based Rectified Linear Unit-Reference-Cited by-同舟云学术

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An Efficient DDoS Attack Detection Using Chaos Henry Gas Solubility Optimization Weight Initialization Based Rectified Linear Unit

Published:2023-03-17 Issue: Volume: Page:1-28
ISSN:0196-9722
Container-title:Cybernetics and Systems
language:en
Short-container-title:Cybernetics and Systems

Author:

Lakshmanan Selvam¹,Maheswari Gnaniyan Ponnusamy Uma²,Andi Senthilkumar³

Affiliation:

1. Information Technology, K S R Institute for Engineering and Technology, Namakkal, India

2. Computer Science and Engineering, RMK College of Engineering and Technology, Thiruvallur, India

3. Electronics and Communication Engineering, Chennai Institute of Technology, Chennai, India

Publisher

Informa UK Limited

Subject

Artificial Intelligence,Information Systems,Software

Link

https://www.tandfonline.com/doi/pdf/10.1080/01969722.2023.2175140

Reference24 articles.

1. Internet of Things Cyber Attacks Detection using Machine Learning

2. Doshi, K. 2018. Low rate DDoS attack dataset. Kaggle. Retrieved August 10, 2022, from https://www.kaggle.com/datasets/keval17/ddosattackdetection/discussion

3. Machine Learning DDoS Detection for Consumer Internet of Things Devices

4. DeepCoin: A Novel Deep Learning and Blockchain-Based Energy Exchange Framework for Smart Grids

Cited by 1 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. Advances in Henry Gas Solubility Optimization: A Physics-Inspired Metaheuristic Algorithm With Its Variants and Applications;IEEE Access;2024

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