BotNet-Inspired HTTP-Based DDoS Attack Prevention Using Supervised Machine Learning Algorithms in Internet of Things Devices-Reference-Cited by-同舟云学术

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BotNet-Inspired HTTP-Based DDoS Attack Prevention Using Supervised Machine Learning Algorithms in Internet of Things Devices

Published:2024-04-15 Issue: Volume:8 Page:1-8
ISSN:
Container-title:2024 IEEE International Systems Conference (SysCon)
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Author:

Taiwo Akinsola Jide Ebenezer¹,Ajagbe Sunday Adeola²,Lawal Azeezat Oluwayemisi¹,Olajubu Emmanuel Ajayi³,Aderounmu Ganiyu Adesola³,Adigun Matthew Olusegun²

Affiliation:

1. First Technical University,Department of Computer Sciences,Ibadan,Nigeria,200255

2. University of Zululand,Department of Computer Science,Kwadlangezwa,South Africa,3886

3. Obafemi Awolowo University,Department of Computer Science and Engineering,Ile–Ife,Nigeria

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10553374/10553399/10553501.pdf?arnumber=10553501

Reference43 articles.

1. Mitigating Denial of Service (DOS) Attacks In Wireless Networks Using Honeypot;Kuyoro

2. Application of Artificial Intelligence for DDoS Attack Detection and P;Akinsola,2022

3. Applications of Blockchain Technology in Cyber Attacks Prevention

4. Detection of advanced persistent threat using machine-learning correlation analysis

5. Enhancing Network Forensics with Particle Swarm and Deep Learning: The Particle Deep Framework

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