Automobile driver fingerprinting: A new machine learning based authentication scheme

Y Xun, J Liu, N Kato, Y Fang… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Advanced technologies are constantly emerging in automobile industry, which not only
provides drivers with a comfortable driving experience, but also enhances the safety of …

Who is behind the wheel? Driver identification and fingerprinting

S Ezzini, I Berrada, M Ghogho - Journal of Big Data, 2018 - Springer
In the last decade, significant advances have been made in sensing and communication
technologies. Such progress led to a considerable growth in the development and use of …

Improving driver identification for the next-generation of in-vehicle software systems

A El Mekki, A Bouhoute… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
This paper deals with driver identification and fingerprinting and its application for enhanced
driver profiling and car security in connected cars. We introduce a new driver identification …

Know your master: Driver profiling-based anti-theft method

BI Kwak, JY Woo, HK Kim - … on Privacy, Security and Trust (PST …, 2016 - ieeexplore.ieee.org
Although many anti-theft technologies are implemented, auto-theft is still increasing. Also,
security vulnerabilities of cars can be used for auto-theft by neutralizing anti-theft system …

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 …

Driver identification using optimized deep learning model in smart transportation

C Ravi, A Tigga, GT Reddy, S Hakak… - ACM Transactions on …, 2022 - dl.acm.org
The Intelligent Transportation System (ITS) is said to revolutionize the travel experience by
making it safe, secure, and comfortable for the people. Although vehicles have been …

Driver identification using only the CAN-Bus vehicle data through an RCN deep learning approach

N Abdennour, T Ouni, NB Amor - Robotics and Autonomous Systems, 2021 - Elsevier
In the recent years, many studies claim that humans have a unique driving behavior style
that could be used as a fingerprint in recognizing the identity of the driver. With the rising …

Driver identification based on wavelet transform using driving patterns

BI Kwak, ML Han, HK Kim - IEEE Transactions on Industrial …, 2020 - ieeexplore.ieee.org
The modern automotive system, based on the convergence of information and
communication technologies, is equipped with various functions to ensure vehicle safety …

Automobile driver fingerprinting

M Enev, A Takakuwa, K Koscher… - Proceedings on Privacy …, 2016 - petsymposium.org
Today's automobiles leverage powerful sensors and embedded computers to optimize
efficiency, safety, and driver engagement. However the complexity of possible inferences …

Accelerometer-based device fingerprinting for multi-factor mobile authentication

T Van Goethem, W Scheepers, D Preuveneers… - … Secure Software and …, 2016 - Springer
Due to the numerous data breaches, often resulting in the disclosure of a substantial amount
of user passwords, the classic authentication scheme where just a password is required to …