Zero-X: A Blockchain-Enabled Open-Set Federated Learning Framework for Zero-Day Attack Detection in IoV

A Boualouache… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
The Internet of Vehicles (IoV) is a crucial technology for Intelligent Transportation Systems
(ITS) that integrates vehicles with the Internet and other entities. The emergence of 5 G and …

Edge Intelligence for Internet of Vehicles: A Survey

G Yan, K Liu, C Liu, J Zhang - IEEE Transactions on Consumer …, 2024 - ieeexplore.ieee.org
The Internet of Vehicles (IoV) has become a fundamental platform for advancing Intelligent
Transportation Systems (ITSs) and Intelligent Connected Vehicles (ICVs). However, the …

FC-LSR: Fog Computing-Based Lightweight Sybil Resistant Scheme in 5G-Enabled Vehicular Networks

AA Almazroi, MH Alkinani, MA Al-Shareeda… - IEEE …, 2024 - ieeexplore.ieee.org
Vehicular networks with Fifth-Generation (5G) are a new form of wireless communication
that could greatly benefit society by lowering the number of preventable car accidents and …

Time-efficient detection of false position attack in 5G and beyond vehicular networks

TET Djaidja, B Brik, A Boualouache, SM Senouci… - Computer Networks, 2024 - Elsevier
Abstract 5G-V2X-enabled transportation systems rely on seamless cooperation between
vehicles, infrastructure, and pedestrians, facilitated by the exchange of real-time position …

Federated Learning for Misbehaviour Detection with Variational Autoencoders and Gaussian Mixture Models

EM Campos, AG Vidal, JLH Ramos… - arXiv preprint arXiv …, 2024 - arxiv.org
Federated Learning (FL) has become an attractive approach to collaboratively train Machine
Learning (ML) models while data sources' privacy is still preserved. However, most of …

AI for Agile development: a Meta-Analysis

B Cabrero-Daniel - arXiv preprint arXiv:2305.08093, 2023 - arxiv.org
This study explores the benefits and challenges of integrating Artificial Intelligence with Agile
software development methodologies, focusing on improving continuous integration and …

Misbehavior detection based on deep learning for vanets

X Liu - 2022 International Conference on Networks …, 2022 - ieeexplore.ieee.org
With the development of intelligent driving technology, the reliability of inter-vehicle
communication has been put on the agenda. The safety and efficiency of vehicular …

MKF-ADS: A Multi-Knowledge Fused Anomaly Detection System for Automotive

P Cheng, Z Wu, G Liu - arXiv preprint arXiv:2403.04293, 2024 - arxiv.org
With the requirements of Intelligent Transport Systems (ITSs) for extensive connectivity of
Electronic Control Units (ECUs) to the outside world, safety and security have become …

Reinforcement learning based blockchain model for revoking unauthorized access in Virtualized Network Functions‐based Internet of Things Mobile Edge Computing

CT Kalaivani, R Renugadevi… - Transactions on …, 2024 - Wiley Online Library
VNFs boost data processing efficiency in Mobile Edge Computing (MEC)‐driven Internet of
Things (IoT) for healthcare, smart cities, and industrial automation. VNF‐based IoT MEC …

Unintended Data Behaviour Analysis Using Cryptography Stealth Approach Against Security and Communication Network

M Alauthman, H Aljuaid, P Sathyaprakash… - Mobile Networks and …, 2023 - Springer
Data security is based on the collection of data and storage without hacking from a third
person has been proposed. While transmitting the data, the attack of the data from the …