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Deep learning in the fast lane: A survey on advanced intrusion detection systems for intelligent vehicle networks
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) …
In-vehicle communication cyber security: A comprehensive review of challenges and solutions
The utilization of autonomous vehicles is experiencing a rapid proliferation in contemporary
society. Concurrently, with the relentless evolution of technology, the inexorable integration …
society. Concurrently, with the relentless evolution of technology, the inexorable integration …
[HTML][HTML] A robust multi-stage intrusion detection system for in-vehicle network security using hierarchical federated learning
As connected and autonomous vehicles proliferate, the Controller Area Network (CAN) bus
has become the predominant communication standard for in-vehicle networks due to its …
has become the predominant communication standard for in-vehicle networks due to its …
Hidim: A novel framework of network intrusion detection for hierarchical dependency and class imbalance
Deep learning-based network intrusion detection has been extensively explored as a data-
driven approach. Therefore, paying attention to the data's characteristics is essential. By …
driven approach. Therefore, paying attention to the data's characteristics is essential. By …
Optimized Feature Selection for DDoS Attack Recognition and Mitigation in SD-VANETs.
Abstract Vehicular Ad-Hoc Networks (VANETs) are pivotal to the advancement of intelligent
transportation systems (ITS), enhancing safety and efficiency on the road through secure …
transportation systems (ITS), enhancing safety and efficiency on the road through secure …
Feature engineering impact on position falsification attacks detection in vehicular ad-hoc network
The vehicular ad-hoc network is a technology that enables vehicles to interact with each
other and the surrounding infrastructure, aiming to enhance road safety and driver comfort …
other and the surrounding infrastructure, aiming to enhance road safety and driver comfort …
[HTML][HTML] SecDefender: Detecting low-quality models in multidomain federated learning systems
Federated learning (FL) is an innovative distributed learning paradigm that permits multiple
parties to train models collaboratively while protecting individual privacy. However, it …
parties to train models collaboratively while protecting individual privacy. However, it …
Secure and lightweight message dissemination framework for internet of vehicles
Abstract The Internet of Vehicles (IoV) revolutionizes vehicle communication in dynamic
networks. Message dissemination in IoV involves sharing critical information for the safety …
networks. Message dissemination in IoV involves sharing critical information for the safety …
[HTML][HTML] Evaluating Communication Performance in Rotating Electrical Machines Using RSSI Measurements and Artificial Intelligence
This paper introduces a novel methodology for evaluating communication performance in
rotating electric machines using Received Signal Strength Indication (RSSI) measurements …
rotating electric machines using Received Signal Strength Indication (RSSI) measurements …
A fsQCA-Based Framework for Cybersecurity of Connected and Automated Vehicles: Implications for Sustainable Development Goals
Connected and automated vehicles (CAV) are increasingly recognized as a critical
component of intelligent transportation systems (ITS), contributing to advances in …
component of intelligent transportation systems (ITS), contributing to advances in …