Computer-aided mobility solutions: Machine learning innovations to secure smart urban transportation

J Wu, RF Yang, P Zhao, LX Yang - Sustainable Cities and Society, 2024 - Elsevier
This study introduces a groundbreaking hybrid deep learning Intrusion Detection System
(IDS) tailored to improve the security of Electric Vehicle (EV) charging processes in the …

Signature-over-the-air with transfer learning ids for intelligent connected vehicles (icv)

Y Otoum, A Nayak - 2021 IEEE Globecom Workshops (GC …, 2021 - ieeexplore.ieee.org
Intelligent Connected Vehicles (ICV) are considered the promising technology that will
replace traditional vehicles soon, especially with the improvement in automation and …

Machine learning for intrusion detection systems in autonomous transportation

E Gherbi - 2021 - inria.hal.science
Despite all the different technological innovations and advances in the automotive field,
autonomous vehicles are still in the testing phase. Many actors are working on several …

An enhanced multi-stage deep learning framework for detecting malicious activities from autonomous vehicles

IA Khan, N Moustafa, D Pi, W Haider… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Intelligent Transportation Systems (ITS), particularly Autonomous Vehicles (AVs), are
susceptible to safety and security concerns that impend people's lives. Nothing like manually …

NIDS-VSB: Network Intrusion Detection System for VANET using Spark-Based Big Data Optimization and Transfer Learning

F Ullah, G Srivastava, S Ullah… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Vehicle Ad Hoc Networks (VANET) are a technology that allows existing transportation
systems to deliver safety and critical information. Due to real-time communication, it …

GVIDS: A reliable vehicle intrusion detection system based on generative adversarial network

Y Zhao, Y Xun, J Liu, S Ma - GLOBECOM 2022-2022 IEEE …, 2022 - ieeexplore.ieee.org
5G and artificial intelligence greatly promote the development of intelligent and connected
vehicle (ICV). However, ICV opens more ports to the outside world, making it easy for …

[HTML][HTML] Enhancing smart road safety with federated learning for Near Crash Detection to advance the development of the Internet of Vehicles

Y Djenouri, AN Belbachir, T Michalak, A Belhadi… - … Applications of Artificial …, 2024 - Elsevier
We introduce an innovative methodology for the identification of vehicular collisions within
Internet of Vehicles (IoV) applications. This approach combines a knowledge base system …

A Novel Architecture for an Intrusion Detection System Utilizing Cross-Check Filters for In-Vehicle Networks

H Im, D Lee, S Lee - Sensors, 2024 - mdpi.com
The Controller Area Network (CAN), widely used for vehicular communication, is vulnerable
to multiple types of cyber-threats. Attackers can inject malicious messages into the CAN bus …

Towards Interpretable and Lightweight Intrusion Detection for In-vehicle Network

G Yang, C Tang, Z Jiang, X Liu - 2022 4th International …, 2022 - ieeexplore.ieee.org
Along with the improvement of informatization and intelligence in modern vehicles, the
attacks aimed at in-vehicle network has been becoming an emerging threat. Current …

Enhancing Intrusion Detection in 5G and IoT Environments: A Comprehensive Machine Learning Approach Leveraging AWID3 Dataset

Z Salah, EA Elsoud - 2023 - preprints.org
Internet users have significantly increased as a result of the spread of Internet of Things (IoT)
technologies and 5G networks. But these developments also make people more susceptible …