Cloud Network Anomaly Detection Using Machine and Deep Learning Techniques— Recent Research Advancements-Reference-Cited by-同舟云学术

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Cloud Network Anomaly Detection Using Machine and Deep Learning Techniques— Recent Research Advancements

Published:2024 Issue: Volume:12 Page:56749-56773
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Abdallah Amira Mahamat¹^ORCID,Saif Rashed Obaid Alkaabi Aysha¹,Bark Nasser Douman Alameri Ghaya¹,Rafique Saida Hafsa¹^ORCID,Musa Nura Shifa¹^ORCID,Murugan Thangavel¹^ORCID

Affiliation:

1. College of Information Technology, United Arab Emirates University, Al Ain, Abu Dhabi, United Arab Emirates

Funder

United Arab Emirates University through the Research Start-Up Proposal

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10504797.pdf?arnumber=10504797

Reference104 articles.

1. Intercept the Cloud Network From Brute Force and DDoS Attacks via Intrusion Detection and Prevention System

2. IoT Intrusion Detection System Using Deep Learning and Enhanced Transient Search Optimization

3. An Advanced Intrusion Detection System for IIoT Based on GA and Tree Based Algorithms

4. Cloud security issues and challenges: A survey

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. Enhancing E-Government Services through State-of-the-Art, Modular, and Reproducible Architecture over Large Language Models;Applied Sciences;2024-09-13

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