Secure Artificial Intelligence for Precise Vehicle Behavior Prediction in 6G Consumer Electronics
SA Haider, JVN Ramesh, V Raina… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
In the context of Secure Artificial Intelligence for 6G Consumer Electronics, accurately
predicting vehicle behavior in dynamic traffic scenarios is a significant challenge in …
predicting vehicle behavior in dynamic traffic scenarios is a significant challenge in …
A secure intelligent system for internet of vehicles: case study on traffic forecasting
Significant efforts have been made for vehicle-to-vehicle communications that now enable
the Internet of Vehicles (IoV). However, current IoV solutions are unable to capture traffic …
the Internet of Vehicles (IoV). However, current IoV solutions are unable to capture traffic …
A privacy-preserving learning method for analyzing hev driver's driving behaviors
CH Lee, HC Yang - IEEE Access, 2023 - ieeexplore.ieee.org
The driving behaviors of electric vehicle (EV) and hybrid electric vehicle (HEV) drivers have
received considerable attention in the literature. The use of image recognition in …
received considerable attention in the literature. The use of image recognition in …
Federated learning with differential privacy for resilient vehicular cyber physical systems
Vehicular cyber physical systems (VCPS) will play a vital role in the quest to develop
intelligent transportation systems (ITS) and smart cities around the world. Consequently …
intelligent transportation systems (ITS) and smart cities around the world. Consequently …
A deep learning approach to secure vehicle to road side unit communications in intelligent transportation system
Y Wu, L Wu, H Cai - Computers and Electrical Engineering, 2023 - Elsevier
Vehicle and road side unit communications are crucial to the information network in
Intelligent Transportation System (ITS). There are two fundamental problems with the current …
Intelligent Transportation System (ITS). There are two fundamental problems with the current …
An IoT-Based Deep-Learning Architecture to Secure Automated Electric Vehicles Against Cyberattacks and Data Loss
In the realm of modern transportation, automated electric vehicles (AEVs) assume a seminal
role in realizing the vision of intelligent and electrified mobility. The advancement of AEVs …
role in realizing the vision of intelligent and electrified mobility. The advancement of AEVs …
Privacy enabled driver behavior analysis in heterogeneous IoV using federated learning
Abstract Internet of Vehicles (IoV) is a paradigm of ITS that incorporates automobiles,
transportation, information sharing, and traffic infrastructure management with the aim to …
transportation, information sharing, and traffic infrastructure management with the aim to …
Machine learning technologies for secure vehicular communication in internet of vehicles: recent advances and applications
Recently, interest in Internet of Vehicles'(IoV) technologies has significantly emerged due to
the substantial development in the smart automobile industries. Internet of Vehicles' …
the substantial development in the smart automobile industries. Internet of Vehicles' …
A Secure Neural Network Inference Framework for Intelligent Connected Vehicles
Neural networks, as one of the most significant techniques in artificial intelligence, play a
crucial role in various tasks associated with intelligent connected vehicles (ICVs), including …
crucial role in various tasks associated with intelligent connected vehicles (ICVs), including …
Guest editorial introduction to the special issue on deep learning models for safe and secure intelligent transportation systems
The autonomous vehicular technology is approaching a level of maturity that gives
confidence to end-users in many cities around the world for their usage so as to share the …
confidence to end-users in many cities around the world for their usage so as to share the …