ADVENT: Attack/Anomaly Detection in VANETs
Authors: Hamideh Baharlouei, Adetokunbo Makanju, Nur Zincir-Heywood | Published: 2024-01-16
悪意のあるノード検出
Machine Learning-Based Malicious Vehicle Detection for Security Threats and Attacks in Vehicle Ad-hoc Network (VANET) Communications
Authors: Thanh Nguyen Canh, Xiem HoangVan | Published: 2024-01-16
Electronic, Wireless, and Photonic Network-on-Chip Security: Challenges and Countermeasures
Authors: Sudeep Pasricha, John Jose, Sujay Deb | Published: 2022-08-18
Long-Short History of Gradients is All You Need: Detecting Malicious and Unreliable Clients in Federated Learning
Authors: Ashish Gupta, Tie Luo, Mao V. Ngo, Sajal K. Das | Published: 2022-08-14
Learning to Detect Malicious Clients for Robust Federated Learning
Authors: Suyi Li, Yong Cheng, Wei Wang, Yang Liu, Tianjian Chen | Published: 2020-02-01
Byzantine-Robust Federated Machine Learning through Adaptive Model Averaging
Authors: Luis Muñoz-González, Kenneth T. Co, Emil C. Lupu | Published: 2019-09-11
YODA: Enabling computationally intensive contracts on blockchains with Byzantine and Selfish nodes
Authors: Sourav Das, Vinay Joseph Ribeiro, Abhijeet Anand | Published: 2018-11-08 | Updated: 2018-12-18