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 …
In-vehicle communication cyber security: challenges and solutions
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 …
considering the growing add-ons of sensor-centric communication and computing devices …
Application of meta-heuristic algorithms for training neural networks and deep learning architectures: A comprehensive review
M Kaveh, MS Mesgari - Neural Processing Letters, 2023 - Springer
The learning process and hyper-parameter optimization of artificial neural networks (ANNs)
and deep learning (DL) architectures is considered one of the most challenging machine …
and deep learning (DL) architectures is considered one of the most challenging machine …
Anomaly detection for in-vehicle network using CNN-LSTM with attention mechanism
With the increasing connectivity between the Electronic Control Units (ECUs) and the
outside world, safety and security have become stringent problems. The Controller Area …
outside world, safety and security have become stringent problems. The Controller Area …
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) …
Deep transfer learning based intrusion detection system for electric vehicular networks
The Controller Area Network (CAN) bus works as an important protocol in the real-time In-
Vehicle Network (IVN) systems for its simple, suitable, and robust architecture. The risk of …
Vehicle Network (IVN) systems for its simple, suitable, and robust architecture. The risk of …
NovelADS: A novel anomaly detection system for intra-vehicular networks
Modern vehicular electronics is a complex system of multiple Electronic Control Units
(ECUs) communicating to provide efficient vehicle functioning. These ECUs communicate …
(ECUs) communicating to provide efficient vehicle functioning. These ECUs communicate …
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 …
Deep learning-based anomaly detection for connected autonomous vehicles using spatiotemporal information
Although connected mymargin autonomous vehicles (CAVs) hold great potential to improve
driving safety and experience significantly, cybersecurity remains a critical concern. As the …
driving safety and experience significantly, cybersecurity remains a critical concern. As the …
Analysis of recent deep-learning-based intrusion detection methods for in-vehicle network
K Wang, A Zhang, H Sun… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The development and popularity of vehicle-to-everything communication have caused more
risks to the in-vehicle networks security. As a result, an increasing number of various and …
risks to the in-vehicle networks security. As a result, an increasing number of various and …