Resilient machine learning for networked cyber physical systems: A survey for machine learning security to securing machine learning for CPS
Cyber Physical Systems (CPS) are characterized by their ability to integrate the physical and
information or cyber worlds. Their deployment in critical infrastructure have demonstrated a …
information or cyber worlds. Their deployment in critical infrastructure have demonstrated a …
A systematic survey of attack detection and prevention in connected and autonomous vehicles
T Limbasiya, KZ Teng, S Chattopadhyay… - Vehicular …, 2022 - Elsevier
The number of Connected and Autonomous Vehicles (CAVs) is increasing rapidly in various
smart transportation services and applications, considering many benefits to society, people …
smart transportation services and applications, considering many benefits to society, people …
A survey on cyber-security of connected and autonomous vehicles (CAVs)
As the general development trend of the automotive industry, connected and autonomous
vehicles (CAVs) can be used to increase transportation safety, promote mobility choices …
vehicles (CAVs) can be used to increase transportation safety, promote mobility choices …
MTH-IDS: A multitiered hybrid intrusion detection system for internet of vehicles
Modern vehicles, including connected vehicles and autonomous vehicles, nowadays
involve many electronic control units connected through intravehicle networks (IVNs) to …
involve many electronic control units connected through intravehicle networks (IVNs) to …
HDL-IDS: a hybrid deep learning architecture for intrusion detection in the Internet of Vehicles
Internet of Vehicles (IoV) is an application of the Internet of Things (IoT) network that
connects smart vehicles to the internet, and vehicles with each other. With the emergence of …
connects smart vehicles to the internet, and vehicles with each other. With the emergence of …
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 …
A many-objective optimization based intelligent intrusion detection algorithm for enhancing security of vehicular networks in 6G
Z Zhang, Y Cao, Z Cui, W Zhang… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
With accelerated ensemble of the Internet of Things technology and automotive industry,
vehicular network has been established as powerful tools. However, it is a significant …
vehicular network has been established as powerful tools. However, it is a significant …
A survey of attacks on controller area networks and corresponding countermeasures
HJ Jo, W Choi - IEEE Transactions on Intelligent Transportation …, 2021 - ieeexplore.ieee.org
The development of vehicle technologies such as connected and autonomous vehicle
environments provide drivers with functions for convenience and safety that are highly …
environments provide drivers with functions for convenience and safety that are highly …
Self-supervised anomaly detection for in-vehicle network using noised pseudo normal data
As the risk of cyber and safety threats to vehicle systems has increased, the anomaly
detection in in-vehicle networks (IVN) has received the attention of researchers. Although …
detection in in-vehicle networks (IVN) has received the attention of researchers. Although …
Deep transfer learning for intrusion detection in industrial control networks: A comprehensive review
Globally, the external internet is increasingly being connected to industrial control systems.
As a result, there is an immediate need to protect these networks from a variety of threats …
As a result, there is an immediate need to protect these networks from a variety of threats …