When machine learning meets privacy in 6G: A survey

Y Sun, J Liu, J Wang, Y Cao… - … Surveys & Tutorials, 2020 - ieeexplore.ieee.org
The rapid-develo** Artificial Intelligence (AI) technology, fast-growing network traffic, and
emerging intelligent applications (eg, autonomous driving, virtual reality, etc.) urgently …

A comprehensive survey of v2x cybersecurity mechanisms and future research paths

R Sedar, C Kalalas, F Vázquez-Gallego… - IEEE Open Journal …, 2023 - ieeexplore.ieee.org
Recent advancements in vehicle-to-everything (V2X) communication have notably improved
existing transport systems by enabling increased connectivity and driving autonomy levels …

Human-factors-in-driving-loop: Driver identification and verification via a deep learning approach using psychological behavioral data

J Xu, S Pan, PZH Sun, SH Park… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
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 …

Achieving privacy-preserving and verifiable support vector machine training in the cloud

C Hu, C Zhang, D Lei, T Wu, X Liu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
With the proliferation of machine learning, the cloud server has been employed to collect
massive data and train machine learning models. Several privacy-preserving machine …

Unified biometric privacy preserving three-factor authentication and key agreement for cloud-assisted autonomous vehicles

Q Jiang, N Zhang, J Ni, J Ma, X Ma… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Autonomous vehicles (AVs) are increasingly common, although there remain a number of
limitations that need to be addressed in order for their deployment to be more widespread …

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 …

Behavioral biometrics for continuous authentication in the internet-of-things era: An artificial intelligence perspective

Y Liang, S Samtani, B Guo, Z Yu - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
In the Internet-of-Things (IoT) era, user authentication is essential to ensure the security of
connected devices and the customization of passive services. However, conventional …

On the design of conditional privacy preserving batch verification-based authentication scheme for internet of vehicles deployment

AK Sutrala, P Bagga, AK Das, N Kumar… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
In the Internet of Vehicles (IoV), secure information sharing among vehicles is crucial in
order to upgrade driving safety as well as to strengthen vehicular services. However, public …

NovelADS: A novel anomaly detection system for intra-vehicular networks

K Agrawal, T Alladi, A Agrawal… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Modern vehicular electronics is a complex system of multiple Electronic Control Units
(ECUs) communicating to provide efficient vehicle functioning. These ECUs communicate …

Mobile vehicles as fog nodes for latency optimization in smart cities

C Tang, X Wei, C Zhu, Y Wang… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
The advent of 5G technologies enables highly anticipated prospect of the internet of things
in smart cities. Smart terminals become a necessity with increasing number of applications …