Autonomous vehicles security: Challenges and solutions using blockchain and artificial intelligence
The arrival of autonomous vehicles (AVs) promises many great benefits, including increased
safety and reduced energy consumption, pollution, and congestion. However, these engines …
safety and reduced energy consumption, pollution, and congestion. However, these engines …
A survey on machine learning-based misbehavior detection systems for 5g and beyond vehicular networks
A Boualouache, T Engel - IEEE Communications Surveys & …, 2023 - ieeexplore.ieee.org
Advances in Vehicle-to-Everything (V2X) technology and onboard sensors have significantly
accelerated deploying Connected and Automated Vehicles (CAVs). Integrating V2X with 5G …
accelerated deploying Connected and Automated Vehicles (CAVs). Integrating V2X with 5G …
An intelligent intrusion detection system for smart consumer electronics network
The technological advancements of Internet of Things (IoT) has revolutionized traditional
Consumer Electronics (CE) into next-generation CE with higher connectivity and …
Consumer Electronics (CE) into next-generation CE with higher connectivity and …
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 …
Security issues in Internet of Vehicles (IoV): A comprehensive survey
Nowadays, connected vehicles have a major role in enhancing the driving experience.
Connected vehicles in the network share their knowledge with the help of the network …
Connected vehicles in the network share their knowledge with the help of the network …
Hyperparameter optimization for 1D-CNN-based network intrusion detection using GA and PSO
D Kilichev, W Kim - Mathematics, 2023 - mdpi.com
This study presents a comprehensive exploration of the hyperparameter optimization in one-
dimensional (1D) convolutional neural networks (CNNs) for network intrusion detection. The …
dimensional (1D) convolutional neural networks (CNNs) for network intrusion detection. The …
[HTML][HTML] Dtl-ids: An optimized intrusion detection framework using deep transfer learning and genetic algorithm
In the dynamic field of the Industrial Internet of Things (IIoT), the networks are increasingly
vulnerable to a diverse range of cyberattacks. This vulnerability necessitates the …
vulnerable to a diverse range of cyberattacks. This vulnerability necessitates the …
LCCDE: a decision-based ensemble framework for intrusion detection in the internet of vehicles
Modern vehicles, including autonomous vehicles and connected vehicles, have adopted an
increasing variety of functionalities through connections and communications with other …
increasing variety of functionalities through connections and communications with other …
Tier-based optimization for synthesized network intrusion detection system
MA Siddiqi, W Pak - IEEE Access, 2022 - ieeexplore.ieee.org
The innovation and evolution of hacking methodologies have led to a sharp rise in cyber
attacks, highlighting the need for enhanced network security approaches. Network intrusion …
attacks, highlighting the need for enhanced network security approaches. Network intrusion …
A novel framework for detection and prevention of denial of service attacks on autonomous vehicles using fuzzy logic
Every year, millions of people lose their lives due to road accidents, and countless others
suffer from severe injuries. Moreover, these accidents cause economic losses worldwide …
suffer from severe injuries. Moreover, these accidents cause economic losses worldwide …