A Novel DDoS Attack Detection Method Using Optimized Generalized Multiple Kernel Learning-Reference-Cited by-同舟云学术

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A Novel DDoS Attack Detection Method Using Optimized Generalized Multiple Kernel Learning

Published:2020 Issue:3 Volume:62 Page:1423-1443
ISSN:1546-2226
Container-title:Computers, Materials & Continua
language:en
Short-container-title:

Author:

Cheng Jieren,Li Junqi,Tang Xiangyan,S. Sheng Victor,Zhang Chen,Li Mengyang

Publisher

Computers, Materials and Continua (Tech Science Press)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Mechanics of Materials,Modelling and Simulation,Biomaterials

Link

https://www.techscience.com/cmc/v62n3/38364/pdf

Cited by 8 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. DDoS Attack Prevention in Autonomous Vehicle’s OTA Updates: Combining PBFT Consensus and Distributed Firewall in Hyperledger Fabric Blockchain;2024 International Wireless Communications and Mobile Computing (IWCMC);2024-05-27

2. Machine Learning-Based Dynamic Attribute Selection Technique for DDoS Attack Classification in IoT Networks;Computers;2023-05-29

3. DDoS mitigation techniques in IoT: A Survey;2022 International Conference on IoT and Blockchain Technology (ICIBT);2022-05-06

4. FACVSPO: Fractional anti corona virus student psychology optimization enabled deep residual network and hybrid correlative feature selection for distributed denial‐of‐service attack detection in cloud using spark architecture;International Journal of Adaptive Control and Signal Processing;2022-04-21

5. Two-Stage Hybrid Malware Detection Using Deep Learning;HUM-CENT COMPUT INFO;2021

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