Survey on issues and recent advances in vehicular public-key infrastructure (VPKI)
Public-key infrastructure (PKI) provides the essential foundation for public-key cryptography,
and security is often bootstrapped from a PKI. Standardization bodies, organizations …
and security is often bootstrapped from a PKI. Standardization bodies, organizations …
Human-factors-in-driving-loop: Driver identification and verification via a deep learning approach using psychological behavioral data
Driver identification has been popular in the field of driving behavior analysis, which has a
broad range of applications in anti-thief, driving style recognition, insurance strategy, and …
broad range of applications in anti-thief, driving style recognition, insurance strategy, and …
V2VR: reliable hybrid-network-oriented V2V data transmission and routing considering RSUs and connectivity probability
H Gao, C Liu, Y Li, X Yang - IEEE Transactions on Intelligent …, 2020 - ieeexplore.ieee.org
Vehicular ad hoc networks (VANETs) have been widely used in intelligent transportation
systems (ITSs) for purposes such as the control of unmanned aerial vehicles (UAVs) and …
systems (ITSs) for purposes such as the control of unmanned aerial vehicles (UAVs) and …
Driving behavior analysis guidelines for intelligent transportation systems
MN Azadani, A Boukerche - IEEE transactions on intelligent …, 2021 - ieeexplore.ieee.org
The advent of in-vehicle networking systems as well as state-of-the-art sensors and
communication technologies have facilitated the collection of large volume and almost real …
communication technologies have facilitated the collection of large volume and almost real …
RFM-based repurchase behavior for customer classification and segmentation
Customer behavior modeling and classification are well-studied areas for applications in
retail. Past studies implemented the purchase behavior modeling based on the physical …
retail. Past studies implemented the purchase behavior modeling based on the physical …
[PDF][PDF] Deriving Driver Behavioral Pattern Analysis and Performance Using Neural Network Approaches.
It has been observed that driver behavior has a direct and considerable impact upon factors
like fuel consumption, environmentally harmful emissions, and public safety, making it a key …
like fuel consumption, environmentally harmful emissions, and public safety, making it a key …
Edge computing and deep learning enabled secure multitier network for internet of vehicles
Internet of Vehicles (IoVs) are fast becoming the norm in our society, but such a trend also
comes with its own set of challenges (eg, new security and privacy risks due to the …
comes with its own set of challenges (eg, new security and privacy risks due to the …
Siamese temporal convolutional networks for driver identification using driver steering behavior analysis
MN Azadani, A Boukerche - IEEE Transactions on Intelligent …, 2022 - ieeexplore.ieee.org
Driver identification has shown sustainable development in recent years in a wide variety of
applications including but not limited to security, personalization, fleet management …
applications including but not limited to security, personalization, fleet management …
Driverrep: Driver identification through driving behavior embeddings
MN Azadani, A Boukerche - Journal of Parallel and Distributed Computing, 2022 - Elsevier
Driver identification has emerged as an active field of study to further personalize the
integrated advanced driver-assistance systems into intelligent vehicles, provide security and …
integrated advanced driver-assistance systems into intelligent vehicles, provide security and …
Driver identification using vehicular sensing data: A deep learning approach
MN Azadani, A Boukerche - 2021 IEEE Wireless …, 2021 - ieeexplore.ieee.org
Driver identification plays a pivotal role in the design of advanced driver assistant systems.
The continued development of in-vehicle networking systems, CAN-bus technology, and the …
The continued development of in-vehicle networking systems, CAN-bus technology, and the …