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 …
[HTML][HTML] Autoencoders and their applications in machine learning: a survey
Autoencoders have become a hot researched topic in unsupervised learning due to their
ability to learn data features and act as a dimensionality reduction method. With rapid …
ability to learn data features and act as a dimensionality reduction method. With rapid …
[HTML][HTML] A review of applications of artificial intelligence in heavy duty trucks
Due to the increasing use of automobiles, the transportation industry is facing challenges of
increased emissions, driver safety concerns, travel demand, etc. Hence, automotive …
increased emissions, driver safety concerns, travel demand, etc. Hence, automotive …
Transformer-based attention network for in-vehicle intrusion detection
Despite the significant advantages of communication systems between electronic control
units, the controller area network (CAN) protocol is vulnerable to attacks owing to its weak …
units, the controller area network (CAN) protocol is vulnerable to attacks owing to its weak …
[HTML][HTML] An enhanced minimax loss function technique in generative adversarial network for ransomware behavior prediction
M Gazzan, FT Sheldon - Future Internet, 2023 - mdpi.com
Recent ransomware attacks threaten not only personal files but also critical infrastructure
like smart grids, necessitating early detection before encryption occurs. Current methods …
like smart grids, necessitating early detection before encryption occurs. Current methods …
A deep learning approach to secure vehicle to road side unit communications in intelligent transportation system
Y Wu, L Wu, H Cai - Computers and Electrical Engineering, 2023 - Elsevier
Vehicle and road side unit communications are crucial to the information network in
Intelligent Transportation System (ITS). There are two fundamental problems with the current …
Intelligent Transportation System (ITS). There are two fundamental problems with the current …
Energy consumption auditing based on a generative adversarial network for anomaly detection of robotic manipulators
This paper presents a generative adversarial network (GAN)-based energy auditing and
anomaly detection framework for the health and security monitoring of robotic manipulators …
anomaly detection framework for the health and security monitoring of robotic manipulators …
[HTML][HTML] CANPerFL: improve in-vehicle intrusion detection performance by sharing knowledge
The Controller Area Network (CAN) is a widely used communication protocol in
automobiles, but it is vulnerable to various types of attacks. To address this issue …
automobiles, but it is vulnerable to various types of attacks. To address this issue …
[HTML][HTML] In-vehicle network intrusion detection systems: a systematic survey of deep learning-based approaches
F Luo, J Wang, X Zhang, Y Jiang, Z Li, C Luo - PeerJ Computer Science, 2023 - peerj.com
Developments in connected and autonomous vehicle technologies provide drivers with
many convenience and safety benefits. Unfortunately, as connectivity and complexity within …
many convenience and safety benefits. Unfortunately, as connectivity and complexity within …
Deep Learning in the Fast Lane: A Survey on Advanced Intrusion Detection Systems for Intelligent Vehicle Networks
M Almehdhar, A Albaseer, MA Khan… - IEEE Open Journal …, 2024 - ieeexplore.ieee.org
The rapid evolution of modern automobiles into intelligent and interconnected entities
presents new challenges in cybersecurity, particularly in Intrusion Detection Systems (IDS) …
presents new challenges in cybersecurity, particularly in Intrusion Detection Systems (IDS) …