[HTML][HTML] Explainable artificial intelligence (xai) for intrusion detection and mitigation in intelligent connected vehicles: A review

CI Nwakanma, LAC Ahakonye, JN Njoku… - Applied Sciences, 2023 - mdpi.com
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 …

[HTML][HTML] Security and Trust Management in the Internet of Vehicles (IoV): Challenges and Machine Learning Solutions

E Alalwany, I Mahgoub - Sensors, 2024 - mdpi.com
The Internet of Vehicles (IoV) is a technology that is connected to the public internet and is a
subnetwork of the Internet of Things (IoT) in which vehicles with sensors are connected to a …

[HTML][HTML] Soil erosion status prediction using a novel random forest model optimized by random search method

Z Tarek, AM Elshewey, SM Shohieb, AM Elhady… - Sustainability, 2023 - mdpi.com
Soil erosion, the degradation of the earth's surface through the removal of soil particles,
occurs in three phases: dislocation, transport, and deposition. Factors such as soil type …

[PDF][PDF] A machine learning-based attack detection and prevention system in vehicular named data networking

AH Magsi, A Ghulam, S Memon, K Javeed… - Comput. Mater …, 2023 - cdn.techscience.cn
ABSTRACT Named Data Networking (NDN) is gaining a significant attention in Vehicular Ad-
hoc Networks (VANET) due to its in-network content caching, name-based routing, and …

[PDF][PDF] Novel Intelligent BSM Falsification Attack Detection System Using Trusted Neighbor Vehicle Approach in IoV

HA Idris, K Ueda, B Mokhtar… - International Journal of …, 2024 - researchgate.net
The proliferation of cyberattacks has emerged as a significant obstacle for advancing
technologies such as the Internet of Things (IoT) and Internet of Vehicles (IoV) in recent …

Misbehavior detection with spatio-temporal graph neural networks

MF Yuce, MA Erturk, MA Aydin - Computers and Electrical Engineering, 2024 - Elsevier
Abstract Graph Neural Networks (GNNs) gained the attention of researchers following
advancements in Representational Learning. Unlike classical machine learning (ML) …

Logistics Supply Chain Network Risk Prediction Model Based on Intelligent Random Forest Model

Z Xu, W Ni, S Liu, F Wang, J Li - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
This article's goal is to investigate, using an intelligent random forest model (RFM), the
logistics supply chain's network risk control method. The logistics supply chain network, a …

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 …

Integration of Cloud, IoT, and AI for Smart Services

A Behura, A Singh, S Nayak - Fostering Cross-Industry Sustainability …, 2024 - igi-global.com
This chapter focused on providing the latest knowledge about IoT with prominence on
application issues, intelligent sensors, enabling technologies, communication technology …

Secure and lightweight message dissemination framework for internet of vehicles

U Bodkhe, S Tanwar - Security and Privacy - Wiley Online Library
Abstract The Internet of Vehicles (IoV) revolutionizes vehicle communication in dynamic
networks. Message dissemination in IoV involves sharing critical information for the safety …