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 …
Explainable artificial intelligence (xai) for intrusion detection and mitigation in intelligent connected vehicles: A review
The potential for an intelligent transportation system (ITS) has been made possible by the
growth of the Internet of things (IoT) and artificial intelligence (AI), resulting in the integration …
growth of the Internet of things (IoT) and artificial intelligence (AI), resulting in the integration …
Deep learning based attack detection for cyber-physical system cybersecurity: A survey
With the booming of cyber attacks and cyber criminals against cyber-physical systems
(CPSs), detecting these attacks remains challenging. It might be the worst of times, but it …
(CPSs), detecting these attacks remains challenging. It might be the worst of times, but it …
Intelligent transportation system for internet of vehicles based vehicular networks for smart cities
P Rani, R Sharma - Computers and Electrical Engineering, 2023 - Elsevier
A popular research area is internet traffic analysis as it has many applications, mainly for
classifying internet traffic. Innovative technologies have been developed for predicting and …
classifying internet traffic. Innovative technologies have been developed for predicting and …
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 …
Design and development of RNN anomaly detection model for IoT networks
Cybersecurity is important today because of the increasing growth of the Internet of Things
(IoT), which has resulted in a variety of attacks on computer systems and networks. Cyber …
(IoT), which has resulted in a variety of attacks on computer systems and networks. Cyber …
IoTBoT-IDS: A novel statistical learning-enabled botnet detection framework for protecting networks of smart cities
The rapid proliferation of the Internet of Things (IoT) systems, has enabled transforming
urban areas into smart cities. Smart cities' paradigm has resulted in improved quality of life …
urban areas into smart cities. Smart cities' paradigm has resulted in improved quality of life …
Machine learning and blockchain technologies for cybersecurity in connected vehicles
Future connected and autonomous vehicles (CAVs) must be secured against cyberattacks
for their everyday functions on the road so that safety of passengers and vehicles can be …
for their everyday functions on the road so that safety of passengers and vehicles can be …
An explainable deep learning framework for resilient intrusion detection in IoT-enabled transportation networks
The security of safety-critical IoT systems, such as the Internet of Vehicles (IoV), has a great
interest, focusing on using Intrusion Detection Systems (IDS) to recognise cyber-attacks in …
interest, focusing on using Intrusion Detection Systems (IDS) to recognise cyber-attacks in …
Intrusion detection in the automotive domain: A comprehensive review
The automotive domain has realized amazing advancements in communication,
connectivity, and automation—and at a breakneck pace. Such advancements come with …
connectivity, and automation—and at a breakneck pace. Such advancements come with …