A Novel Constructive Unceasement Conditional Random Field and Dynamic Bayesian Network Model for Attack Prediction on Internet of Vehicle

RK Mahendran, S Rajendran, P Pandian… - IEEE …, 2024 - ieeexplore.ieee.org
Today's Internet of Vehicles (IoV) has soared by leveraging data gathered from
transportation systems, yet it grapples with security concerns stemming from network …

SRI: A Simple Rule Induction Method for improving resiliency of DNN based IDS against adversarial and zero-day attacks

A Kumar, TK Das, RK Pandey - Proceedings of the 10th ACM Cyber …, 2024 - dl.acm.org
Adversarial machine learning (ML) has demonstrated vulnerabilities of neural network
methods against well-crafted perturbations when added to perfectly acceptable samples …

A Machine Learning Model to Predict Cyberattacks in Connected and Autonomous Vehicles

MK Jha, R Jaiswal - Journal of Computational and Cognitive …, 2022 - ojs.bonviewpress.com
Connected and autonomous vehicles (CAVs) are largely at the experimental stage. Their
successful deployment and field implementation require a careful consideration of their …