ClockIDS: A real-time vehicle intrusion detection system based on clock skew
Although intelligent connected vehicles (ICVs) can better assist drivers and improve their
driving experience, they have huge network security problems and are frequently attacked …
driving experience, they have huge network security problems and are frequently attacked …
Detection of message injection attacks onto the can bus using similarities of successive messages-sequence graphs
The smart features of modern cars are enabled by a number of Electronic Control Units
(ECUs) components that communicate through an in-vehicle network, known as Controller …
(ECUs) components that communicate through an in-vehicle network, known as Controller …
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 …
Shape of the cloak: Formal analysis of clock skew-based intrusion detection system in controller area networks
This paper presents a new masquerade attack called the cloaking attack and provides
formal analyses for clock skew-based intrusion detection systems (IDSs) that detect …
formal analyses for clock skew-based intrusion detection systems (IDSs) that detect …
Long short-term memory neural network-based attack detection model for in-vehicle network security
In this letter, we create two types of attacks to investigate in-vehicle network security: replay
attack and amplitude-shift attack. We use these two attacks to create attack datasets from two …
attack and amplitude-shift attack. We use these two attacks to create attack datasets from two …
Federated graph neural network for fast anomaly detection in controller area networks
Due to the lack of CAN frame encryption and authentication, CAN bus is vulnerable to
various attacks, which can in general be divided into message injection, suspension, and …
various attacks, which can in general be divided into message injection, suspension, and …
GGNB: Graph-based Gaussian naive Bayes intrusion detection system for CAN bus
The national highway traffic safety administration (NHTSA) identified cybersecurity of the
automobile systems are more critical than the security of other information systems …
automobile systems are more critical than the security of other information systems …
Deep learning-based intrusion detection system for internet of vehicles
The growth of the Internet of Things (IoT) has resulted in several revolutionary applications,
such as smart cities, cyber-physical systems, and the Internet of vehicles (IoV). Within the IoV …
such as smart cities, cyber-physical systems, and the Internet of vehicles (IoV). Within the IoV …
SWMAT: Mel-frequency cepstral coefficients-based memory fingerprinting for IoT devices
R Vijayakanthan, I Ahmed, A Ali-Gombe - Computers & Security, 2023 - Elsevier
The increasing sophistication in computing capability and sensing technologies have
continued to drive the design, development, and growth of the smart technologies commonly …
continued to drive the design, development, and growth of the smart technologies commonly …
Retracted: An Evolutionary Deep Learning Anomaly Detection Framework for In-Vehicle Networks-CAN Bus
Y Lin, C Chen, F Xiao, O Avatefipour… - IEEE transactions on …, 2020 - ieeexplore.ieee.org
Modern vehicles are no longer considered as mere mechanical-based device, instead, they
have been hugely replaced by sophisticated electric devices known as Electronic Control …
have been hugely replaced by sophisticated electric devices known as Electronic Control …