Classifying DDoS Attack in Industrial Internet of Services Using Machine Learning-Reference-Cited by-同舟云学术

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Classifying DDoS Attack in Industrial Internet of Services Using Machine Learning

Published:2023-03-03 Issue: Volume: Page:
ISSN:
Container-title:2023 15th International Conference on Computer and Automation Engineering (ICCAE)
language:
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Author:

Qaiser Ghazia¹,Chandrasekaran Siva¹,Chai Rifai¹,Zheng Jinchuan¹

Affiliation:

1. Swinburne University of Technology,Melbourne,Australia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10111091/10111098/10111178.pdf?arnumber=10111178

Reference17 articles.

1. Internet-of-Things Security and Vulnerabilities: Case Study

2. Efficient Secure Routing Mechanisms for the Low-Powered IoT Network: A Literature Review

3. Real-time DDoS attack detection for Cisco IOS using NetFlow

4. The 100th-Anniversary Harbin Institute of Technology?IES Lectures on Industrial Technologies [Society News]

Cited by 3 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. Artificial Intelligence in Industrial Internet of Things: A Concise Review of Performance Management;Studies in Computational Intelligence;2024

2. A Hybrid ABNB Model for Detecting Malicious Attacks for IIoS;2023 Global Conference on Information Technologies and Communications (GCITC);2023-12-01

3. Classification of DDoS traffic for Industrial Internet of Services using Deep learning approaches;2023 IEEE International Conference on Artificial Intelligence, Blockchain, and Internet of Things (AIBThings);2023-09-16

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