Enhancing Trust Management System for Connected Autonomous Vehicles Using Machine Learning Methods: A Survey

10 May 2025

Papers citing "Enhancing Trust Management System for Connected Autonomous Vehicles Using Machine Learning Methods: A Survey"

9 / 9 papers shown

Title
FEDQ-Trust: Efficient Data-Driven Trust Prediction for Mobile Edge-Based IoT Systems Jiahui Bai Hai Dong A. Bouguettaya 71 1 0 29 Apr 2024
Federated Learning in Intelligent Transportation Systems: Recent Applications and Open Problems Shiying Zhang Jun Li Long Shi Ming Ding Dinh C. Nguyen Wuzheng Tan Jian Weng Zhu Han 124 37 0 20 Sep 2023
Federated Learning for Connected and Automated Vehicles: A Survey of Existing Approaches and Challenges Vishnu Pandi Chellapandi Liangqi Yuan Christopher G. Brinton Stanislaw H. .Zak Ziran Wang FedML 107 87 0 21 Aug 2023
Enhancing Worker Recruitment in Collaborative Mobile Crowdsourcing: A Graph Neural Network Trust Evaluation Approach Zhongwei Zhan Yingjie Wang Peiyong Duan A. Sai Zhaowei Liu Chaocan Xiang Xiangrong Tong Weilong Wang Z. Cai 67 4 0 07 Jun 2023
Graph-based Semi-supervised Learning: A Comprehensive Review Zixing Song Xiangli Yang Zenglin Xu Irwin King 149 205 0 26 Feb 2021
Towards a Machine Learning-driven Trust Evaluation Model for Social Internet of Things: A Time-aware Approach S. Sagar A. Mahmood Quan Z. Sheng Munazza Zaib W. Zhang 15 22 0 03 Feb 2021
Self-supervised Learning: Generative or Contrastive Xiao Liu Fanjin Zhang Zhenyu Hou Zhaoyu Wang Li Mian Jing Zhang Jie Tang SSL 139 1,630 0 15 Jun 2020
Deep Learning-Based Anomaly Detection in Cyber-Physical Systems: Progress and Opportunities Yuan Luo Ya Xiao Long Cheng Guojun Peng D. Yao 61 162 0 30 Mar 2020
Evaluating Reputation Management Schemes of Internet of Vehicles based on Evolutionary Game Theory Zhihong Tian X. Gao Shen Su Jing Qiu Xiaojiang Du Mohsen Guizani 20 170 0 12 Feb 2019