Machine learning for security in vehicular networks: A comprehensive survey
A Talpur, M Gurusamy - IEEE Communications Surveys & …, 2021 - ieeexplore.ieee.org
Machine Learning (ML) has emerged as an attractive and viable technique to provide
effective solutions for a wide range of application domains. An important application domain …
effective solutions for a wide range of application domains. An important application domain …
A survey on controller area network reverse engineering
Controller Area Network (CAN) is a masterless serial bus designed and widely used for the
exchange of mission and time-critical information within commercial vehicles. In-vehicle …
exchange of mission and time-critical information within commercial vehicles. In-vehicle …
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 …
OTIDS: A novel intrusion detection system for in-vehicle network by using remote frame
Controller Area Network (CAN) is a bus communication protocol which defines a standard
for reliable and efficient transmission between in-vehicle nodes in real-time. Since CAN …
for reliable and efficient transmission between in-vehicle nodes in real-time. Since CAN …
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 …
[HTML][HTML] A deep learning framework for driving behavior identification on in-vehicle CAN-BUS sensor data
Human driving behaviors are personalized and unique, and the automobile fingerprint of
drivers could be helpful to automatically identify different driving behaviors and further be …
drivers could be helpful to automatically identify different driving behaviors and further be …
An Improved Deep Learning‐Based Technique for Driver Detection and Driver Assistance in Electric Vehicles with Better Performance
G Balan, S Arumugam, S Muthusamy… - … on Electrical Energy …, 2022 - Wiley Online Library
Technology for electric vehicles (EVs) is a developing subject that offers numerous
advantages, such as reduced operating costs. Since the goal of EVs has always been to …
advantages, such as reduced operating costs. Since the goal of EVs has always been to …
Human behavior characterization for driving style recognition in vehicle system
Despite the development of new technologies in order to prevent the stealing of cars, the
number of car thefts is sharply increasing. With the advent of electronics, new ways to steal …
number of car thefts is sharply increasing. With the advent of electronics, new ways to steal …
Can-bus attack detection with deep learning
Modern cars include a huge number of sensors and actuators, which continuously exchange
data and control commands. The most used protocol for communication of different …
data and control commands. The most used protocol for communication of different …
Machine learning techniques to identify unsafe driving behavior by means of in-vehicle sensor data
E Lattanzi, V Freschi - Expert Systems with Applications, 2021 - Elsevier
Traffic crashes are one of the biggest causes of accidental death in the way where, every
year, more than 1.35 million of people die. In most of them, the main cause is related to the …
year, more than 1.35 million of people die. In most of them, the main cause is related to the …