FACVO-DNFN: Deep learning-based feature fusion and Distributed Denial of Service attack detection in cloud computing-Reference-Cited by-同舟云学术

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FACVO-DNFN: Deep learning-based feature fusion and Distributed Denial of Service attack detection in cloud computing

Published:2023-02 Issue: Volume:261 Page:110132
ISSN:0950-7051
Container-title:Knowledge-Based Systems
language:en
Short-container-title:Knowledge-Based Systems

Author:

G.S.R. Emil Selvan,Ganeshan R.,Jingle I. Diana Jeba,Ananth J.P.

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Management Information Systems,Software

Reference33 articles.

1. Ensemble-based multi-filter feature selection method for DDoS detection in cloud computing;Osanaiye;EURASIP J. Wireless Commun. Networking,2016

2. Interconnecting federated clouds by using publish–subscribe service;Esposito;Cluster Comput.,2013

3. Co-FAIS: Cooperative fuzzy artificial immune system for detecting intrusion in wireless sensor networks;Shamshirband;J. Netw. Comput. Appl.,2014

4. Voting extreme learning machine based distributed denial of service attack detection in cloud computing;Kushwah;J. Inf. Secur. Appl.,2020

5. The slow HTTP distributed denial of service attack detection in cloud;Dhanapal;Scalable Comput. Pract. Exp.,2019

Cited by 14 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. Advancements in detecting, preventing, and mitigating DDoS attacks in cloud environments: A comprehensive systematic review of state-of-the-art approaches;Egyptian Informatics Journal;2024-09

2. MEMFO-KELM: A Deep Learning Approach for Real-Time Intrusion Detection in Cloud Environments;IETE Journal of Research;2024-06-18

3. DeepRoughNetID: A Robust Framework for Network Anomaly Intrusion Detection with High Detection Rates;IETE Journal of Research;2024-05-26

4. Utilizing Cloud Computing for Distributed Training of Deep Learning Models;2024 Second International Conference on Data Science and Information System (ICDSIS);2024-05-17

5. A novel intrusion detection system based on a hybrid quantum support vector machine and improved Grey Wolf optimizer;Cluster Computing;2024-05-02

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