GAN-CAN: A Novel Attack to Behavior-Based Driver Authentication Systems

E Efatinasab, F Marchiori, D Donadel… - arXiv preprint arXiv …, 2023 - arxiv.org
For many years, car keys have been the sole mean of authentication in vehicles. Whether
the access control process is physical or wireless, entrusting the ownership of a vehicle to a …

[图书][B] Authenticating drivers based on driving behavior

M Salemi - 2015 - search.proquest.com
Contemporary cars come by default equipped with several kinds of anti-theft systems.
Despite this, the cars remain vulnerable to a simple physical attack: stealing the keys …

This car is mine!: Automobile theft countermeasure leveraging driver identification with generative adversarial networks

KH Park, HK Kim - arXiv preprint arXiv:1911.09870, 2019 - arxiv.org
As a car becomes more connected, a countermeasure against automobile theft has become
a significant task in the real world. To respond to automobile theft, data mining, biometrics …

G-driveraut: a growable driver authentication scheme based on incremental learning

Y Xun, W Guo, J Liu - IEEE Transactions on Vehicular …, 2023 - ieeexplore.ieee.org
As an important part of intelligent and connected vehicles (ICVs) safety, driver authentication
is a hot research direction in recent years. The existing driver authentication schemes in the …

Detecting stealthy cyberattacks on automated vehicles via generative adversarial networks

T Li, M Shang, S Wang, M Filippelli… - 2022 IEEE 25th …, 2022 - ieeexplore.ieee.org
The emergence of vehicles with driver-assist features, including adaptive cruise control
(ACC) or other automated driving capabilities, introduces the possibility of cyberattacks …

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 …

ATVSA: Vehicle driver profiling for situational awareness

R Khan, N Saxena, O Rana… - 2022 IEEE European …, 2022 - ieeexplore.ieee.org
Increasing connectivity and automation in vehicles leads to a greater potential attack
surface. Such vulnerabilities within vehicles can also be used for auto-theft, increasing the …

The security of autonomous driving: Threats, defenses, and future directions

K Ren, Q Wang, C Wang, Z Qin… - Proceedings of the IEEE, 2019 - ieeexplore.ieee.org
Autonomous vehicles (AVs) have promised to drastically improve the convenience of driving
by releasing the burden of drivers and reducing traffic accidents with more precise control …

Driver identification based on hidden feature extraction by using deep learning

J Chen, ZC Wu, J Zhang, S Chen - 2019 IEEE 3rd Information …, 2019 - ieeexplore.ieee.org
The rapid development of intelligent transportation and Internet of Vehicles technology
provides a technical means for obtaining massive, real-time, and multi-dimensional driving …

Vehicle self-surveillance: Sensor-enabled automatic driver recognition

ID Markwood, Y Liu - proceedings of the 11th ACM on Asia Conference …, 2016 - dl.acm.org
Motor vehicles are widely used, quite valuable, and often targeted for theft. Preventive
measures include car alarms, proximity control, and physical locks, which can be bypassed …