AI techniques for IoT-based DDoS attack detection: Taxonomies, comprehensive review and research challenges-Reference-Cited by-同舟云学术

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AI techniques for IoT-based DDoS attack detection: Taxonomies, comprehensive review and research challenges

Published:2024-05 Issue: Volume:52 Page:100631
ISSN:1574-0137
Container-title:Computer Science Review
language:en
Short-container-title:Computer Science Review

Author:

Bala Bindu,Behal Sunny^ORCID

Publisher

Elsevier BV

Reference134 articles.

1. Internet of Things(IoT) market;Ltd.,2023

2. Internet of things applications, security challenges, attacks, intrusion detection, and future visions: A systematic review;Mishra;IEEE Access,2021

3. Internet of things and its applications: A comprehensive survey;Hassan;Symmetry,2020

4. DDoS attacks report by StormWall,2023

5. Threat intelligence report finds malicious IoT botnet based DDOS;Nokia,2023

Cited by 2 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. Unveiling the core of IoT: comprehensive review on data security challenges and mitigation strategies;Frontiers in Computer Science;2024-06-26

2. HybOff: a Hybrid Offloading approach to improve load balancing in fog environments;Journal of Cloud Computing;2024-05-28

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