Towards Robust AI Model for Cyber-Physical Intelligent Transportation Systems by Hash-Based Ensemble Learning

K Hasan, V Guduru, S Zein-Sabatto… - 2023 IEEE Latin …, 2023 - ieeexplore.ieee.org
In the evolving landscape of vehicular technology, autonomous and connected features lead
to heightened connectivity among vehicles, intelligent devices, and infrastructures …

[HTML][HTML] Multi-Classification and Tree-Based Ensemble Network for the Intrusion Detection System in the Internet of Vehicles

W Gou, H Zhang, R Zhang - Sensors, 2023 - mdpi.com
The Internet of Vehicles (IoV) employs vehicle-to-everything (V2X) technology to establish
intricate interconnections among the Internet, the IoT network, and the Vehicle Networks …

Enhancing Intrusion Detection in The Internet of Vehicles: An Ensemble and Optimized Machine Learning Approach

J Tu, W Shang - 2023 2nd International Conference on Sensing …, 2023 - ieeexplore.ieee.org
In contemporary intelligent transportation systems, particularly within autonomous vehicles
and connected cars, a growing array of functionalities has been integrated through …

A transfer learning and optimized CNN based intrusion detection system for Internet of Vehicles

L Yang, A Shami - ICC 2022-IEEE International Conference on …, 2022 - ieeexplore.ieee.org
Modern vehicles, including autonomous vehicles and connected vehicles, are increasingly
connected to the external world, which enables various functionalities and services …

A Novel Constructive Unceasement Conditional Random Field and Dynamic Bayesian Network Model for Attack Prediction on Internet of Vehicle

RK Mahendran, S Rajendran, P Pandian… - IEEE …, 2024 - ieeexplore.ieee.org
Today's Internet of Vehicles (IoV) has soared by leveraging data gathered from
transportation systems, yet it grapples with security concerns stemming from network …

Meta-IDS: Meta-Learning Automotive Intrusion Detection Systems with Adaptive and Learnable

HQ Wang, J Li, DH Huang, YD Tao - 2024 - researchsquare.com
In the rapidly evolving landscape of vehicular communications, the widespread use of the
Controller Area Network (CAN) in modern vehicles has revealed significant security …

Internet of vehicles: A study and comparison of machine learning and deep learning-based intrusion detection approaches

H Sinha, R Tripathi - AIP Conference Proceedings, 2023 - pubs.aip.org
The Internet of Vehicles (IoV) is a prominent Internet of Things (IoT) application in the area of
transportation that intends to create an integrated intelligent transportation system to …

LCCDE: a decision-based ensemble framework for intrusion detection in the internet of vehicles

L Yang, A Shami, G Stevens… - GLOBECOM 2022-2022 …, 2022 - ieeexplore.ieee.org
Modern vehicles, including autonomous vehicles and connected vehicles, have adopted an
increasing variety of functionalities through connections and communications with other …

BoostSec: Adaptive Attack Detection for Vehicular Networks

MA Elsayed, N Zincir-Heywood - Journal of Network and Systems …, 2024 - Springer
The automotive industry is undoubtedly taking giant strides toward a paradigm shift. In
essence, wireless network communication and artificial intelligence technologies are …

Enhancing intrusion detection in vehicular networks through deep learning approaches

K Aggarwal - 2023 - espace.etsmtl.ca
The recent expansion of the Internet of Things (IoT) has transformed vehicular networks into
the Internet of Vehicles (IoV), where modern vehicles are exposed to various new types of …