Ai-based intrusion detection systems for in-vehicle networks: A survey
The Controller Area Network (CAN) is the most widely used in-vehicle communication
protocol, which still lacks the implementation of suitable security mechanisms such as …
protocol, which still lacks the implementation of suitable security mechanisms such as …
Demystifying in-vehicle intrusion detection systems: A survey of surveys and a meta-taxonomy
Breaches in the cyberspace due to cyber-physical attacks can harm the physical space, and
any type of vehicle is an alluring target for wrongdoers for an assortment of reasons …
any type of vehicle is an alluring target for wrongdoers for an assortment of reasons …
A Bayesian deep learning approach with convolutional feature engineering to discriminate cyber-physical intrusions in smart grid systems
The emergence of cyber-physical smart grid (CPSG) systems has revolutionized the
traditional power grid by enabling the bidirectional energy flow between consumers and …
traditional power grid by enabling the bidirectional energy flow between consumers and …
Sustainable and lightweight domain-based intrusion detection system for in-vehicle network
Intelligent transportation systems are designed to enhance and optimize the traffic flow,
safety of urban mobility, and improve energy efficiency. While advanced vehicles are …
safety of urban mobility, and improve energy efficiency. While advanced vehicles are …
Universal intrusion detection system on in-vehicle network
Abstract The Controller Area Network (CAN) protocol is widely used in automotive and
industrial applications for communication. However, the lack of authentication and …
industrial applications for communication. However, the lack of authentication and …
Measure of similarity between GMMs based on geometry-aware dimensionality reduction
Gaussian Mixture Models (GMMs) are used in many traditional expert systems and modern
artificial intelligence tasks such as automatic speech recognition, image recognition and …
artificial intelligence tasks such as automatic speech recognition, image recognition and …
An In-Depth Examination of Artificial Intelligence-Enhanced Cybersecurity in Robotics, Autonomous Systems, and Critical Infrastructures
Recent developments in cutting-edge robotics have been constantly faced with increased
cyber-threats, not only in terms of the quantity or the frequency of attacks, but also when it …
cyber-threats, not only in terms of the quantity or the frequency of attacks, but also when it …
[HTML][HTML] Reconfigurable CAN Intrusion Detection and Response System
R Saini, R Islam - Electronics, 2024 - mdpi.com
The controller area network (CAN) remains the de facto standard for intra-vehicular
communication. CAN enables reliable communication between various microcontrollers and …
communication. CAN enables reliable communication between various microcontrollers and …
A Novel Constructive Unceasement Conditional Random Field and Dynamic Bayesian Network Model for Attack Prediction on Internet of Vehicle
RK Mahendran, S Rajendran, P Pandian… - IEEE …, 2024 - ieeexplore.ieee.org
Today's Internet of Vehicles (IoV) has soared by leveraging data gathered from
transportation systems, yet it grapples with security concerns stemming from network …
transportation systems, yet it grapples with security concerns stemming from network …
[HTML][HTML] A Multivariate Time Series Prediction Method for Automotive Controller Area Network Bus Data
D Yang, S Yang, J Qu, K Wang - Electronics, 2024 - mdpi.com
This study addresses the prediction of CAN bus data, a lesser-explored aspect within
unsupervised anomaly detection research. We propose the Fast-Gated Attention (FGA) …
unsupervised anomaly detection research. We propose the Fast-Gated Attention (FGA) …