Fuzzy decision-making framework for explainable golden multi-machine learning models for real-time adversarial attack detection in Vehicular Ad-hoc Networks-Reference-Cited by-同舟云学术

Fuzzy decision-making framework for explainable golden multi-machine learning models for real-time adversarial attack detection in Vehicular Ad-hoc Networks

Published:2024-05 Issue: Volume:105 Page:102208
ISSN:1566-2535
Container-title:Information Fusion
language:en
Short-container-title:Information Fusion

Author:

Albahri A.S.,Hamid Rula A.,Abdulnabi Ahmed Raheem,Albahri O.S.,Alamoodi A.H.,Deveci Muhammet,Pedrycz Witold,Alzubaidi Laith,Santamaría Jose,Gu Yuantong

Funder

Queensland University of Technology

Australian Research Council

Publisher

Elsevier BV

Subject

Hardware and Architecture,Information Systems,Signal Processing,Software

Reference88 articles.

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5. A novel centralized TDMA-based scheduling protocol for vehicular networks;Zhang;IEEE Trans. Intell. Transp. Syst.,2015

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