The paper focuses on the identification of cyber-attacks in electric cars based on CAN bus
signals anomalies detection. One of the objectives of the paper is to show that cyber-attacks …

The paper describes three machine learning models for detecting cyber attacks in self-
driving vehicles. The aim is recognition of abnormal data, inserted into the CAN bus of self …

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 …

Modern vehicles contain a plethora of electronic units aimed to send and receive data by
exploiting the serial communication provided by the CAN bus. CAN packets are broadcasted …

Autonomous cars are smart vehicles that are capable of sensing their surroundings and
navigating accordingly without or less human involvement. Such cars are vulnerable to …

Cars are no longer only mechanical vehicles. As a matter of fact, they contain an ecosystem
of several electronic units able to exchange data using the serial communication provided …

Some of the recent studies reveal that it is possible to access the in-vehicle networks and
inject malicious messages to alter the behavior of the vehicle. Researchers have shown that …

Self-driving vehicles are very susceptible to cyber attacks. This paper aims to utilize a
machine learning approach in combating cyber attacks on self-driving vehicles. We focus on …

Internet of Vehicles in brief is the distributed networks that makes the use of data produced
due to connected cars and vehicular ad-hoc networks. With the progress in Science and …

Transportation electrification plays an important role in the operation of the smart grid
through the integration of the electric vehicle fast charging stations (EVFCSs), which allows …