Ai-based intrusion detection systems for in-vehicle networks: A survey

S Rajapaksha, H Kalutarage, MO Al-Kadri… - ACM Computing …, 2023 - dl.acm.org
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 …

Resource provisioning in edge/fog computing: A comprehensive and systematic review

A Shakarami, H Shakarami, M Ghobaei-Arani… - Journal of Systems …, 2022 - Elsevier
Close computing paradigms such as fog and edge have become promising technologies for
mobile applications running on pervasive mobile equipment utilized by a wide range of …

Milestones in autonomous driving and intelligent vehicles: Survey of surveys

L Chen, Y Li, C Huang, B Li, Y Xing… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Interest in autonomous driving (AD) and intelligent vehicles (IVs) is growing at a rapid pace
due to the convenience, safety, and economic benefits. Although a number of surveys have …

CANintelliIDS: Detecting in-vehicle intrusion attacks on a controller area network using CNN and attention-based GRU

AR Javed, S Ur Rehman, MU Khan… - IEEE transactions on …, 2021 - ieeexplore.ieee.org
Controller area network (CAN) is a communication protocol that provides reliable and
productive transmission between in-vehicle nodes continuously. CAN bus protocol is …

[HTML][HTML] In-vehicle communication cyber security: challenges and solutions

RS Rathore, C Hewage, O Kaiwartya, J Lloret - Sensors, 2022 - mdpi.com
In-vehicle communication has become an integral part of today's driving environment
considering the growing add-ons of sensor-centric communication and computing devices …

Novel deep learning-enabled LSTM autoencoder architecture for discovering anomalous events from intelligent transportation systems

J Ashraf, AD Bakhshi, N Moustafa… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
Intelligent Transportation Systems (ITS), especially Autonomous Vehicles (AVs), are
vulnerable to security and safety issues that threaten the lives of the people. Unlike manual …

Intrusion detection based on machine learning techniques in computer networks

AS Dina, D Manivannan - Internet of Things, 2021 - Elsevier
Intrusions in computer networks have increased significantly in the last decade, due in part
to a profitable underground cyber-crime economy and the availability of sophisticated tools …

[HTML][HTML] A survey of deep learning-based intrusion detection in automotive applications

B Lampe, W Meng - Expert Systems with Applications, 2023 - Elsevier
Modern automobiles depend on internal vehicle networks (IVNs) to control systems from the
anti-lock brakes to the transmission to the locks on the doors. Many IVNs, particularly the …

Cyberattacks and countermeasures for in-vehicle networks

E Aliwa, O Rana, C Perera, P Burnap - ACM computing surveys (CSUR), 2021 - dl.acm.org
As connectivity between and within vehicles increases, so does concern about safety and
security. Various automotive serial protocols are used inside vehicles such as Controller …

A hybrid deep learning based intrusion detection system using spatial-temporal representation of in-vehicle network traffic

W Lo, H Alqahtani, K Thakur, A Almadhor… - Vehicular …, 2022 - Elsevier
A significant increase in the use of electronics control units (ECUs) in modern vehicles has
made controller area network (CAN) a de facto standard in the automotive industry. CAN …