TrustGuard-VehNet: An ensemble deep learning framework for trust modelling and malicious node detection in vehicular networks
Vehicular ad hoc networks (VANETs) require reliable trust assessment and attack detection to protect safety-critical communication under rapid topology changes. This paper presents TrustGuard-VehNet, an ensemble deep-learning framework that combines a one-dimensional convolutional neural network for short-window behavi...