Cover Image

Fuse and Federate: Enhancing EV Charging Station Security with Multimodal Fusion and Federated Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Rahal, Rabah, Korba, Abdelaziz Amara, Ghamri-Doudane, Yacine
Format:	Preprint
Published:	2025
Subjects:	Cryptography and Security Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

AntibotV: A Multilevel Behaviour-based Framework for Botnets Detection in Vehicular Networks
by: Rahal, Rabah, et al.
Published: (2024)

Federated Learning for Zero-Day Attack Detection in 5G and Beyond V2X Networks
by: korba, Abdelaziz Amara, et al.
Published: (2024)

Zero-Day Botnet Attack Detection in IoV: A Modular Approach Using Isolation Forests and Particle Swarm Optimization
by: Korba, Abdelaziz Amara, et al.
Published: (2025)

Zero-X: A Blockchain-Enabled Open-Set Federated Learning Framework for Zero-Day Attack Detection in IoV
by: korba, Abdelaziz Amara, et al.
Published: (2024)

Multi-agent Reinforcement Learning-based Network Intrusion Detection System
by: Tellache, Amine, et al.
Published: (2024)

BARTPredict: Empowering IoT Security with LLM-Driven Cyber Threat Prediction
by: Diaf, Alaeddine, et al.
Published: (2025)

Beyond Detection: Leveraging Large Language Models for Cyber Attack Prediction in IoT Networks
by: Diaf, Alaeddine, et al.
Published: (2024)

AI-Driven Fast and Early Detection of IoT Botnet Threats: A Comprehensive Network Traffic Analysis Approach
by: korba, Abdelaziz Amara, et al.
Published: (2024)

Towards Trustworthy Agentic IoEV: AI Agents for Explainable Cyberthreat Mitigation and State Analytics
by: Dif, Meryem Malak, et al.
Published: (2025)

DARTIC: Decentralized Anonymous Reputation at Scale for Trustworthy Crowdsourcing
by: Bouchiha, Mouhamed Amine, et al.
Published: (2026)

A Life-long Learning Intrusion Detection System for 6G-Enabled IoV
by: korba, Abdelaziz Amara, et al.
Published: (2024)

BotDetect: A Decentralized Federated Learning Framework for Detecting Financial Bots on the EVM Blockchains
by: Bendada, Ahmed Mounsf Rafik, et al.
Published: (2025)

Advancing Autonomous Incident Response: Leveraging LLMs and Cyber Threat Intelligence
by: Tellache, Amine, et al.
Published: (2025)

Anomaly-based Framework for Detecting Power Overloading Cyberattacks in Smart Grid AMI
by: Korba, Abdelaziz Amara, et al.
Published: (2024)

AutoDFL: A Scalable and Automated Reputation-Aware Decentralized Federated Learning
by: Dif, Meryem Malak, et al.
Published: (2025)

VerifBFL: Leveraging zk-SNARKs for A Verifiable Blockchained Federated Learning
by: Bellachia, Ahmed Ayoub, et al.
Published: (2025)

EnerSwap: Large-Scale, Privacy-First Automated Market Maker for V2G Energy Trading
by: Bendada, Ahmed Mounsf Rafik, et al.
Published: (2025)

Automated Byzantine-Resilient Clustered Decentralized Federated Learning for Battery Intelligence in Connected EVs
by: Bouchiha, Mouhamed Amine, et al.
Published: (2026)

RollupTheCrowd: Leveraging ZkRollups for a Scalable and Privacy-Preserving Reputation-based Crowdsourcing Platform
by: Bendada, Ahmed Mounsf Rafik, et al.
Published: (2024)

FedSecurity: Benchmarking Attacks and Defenses in Federated Learning and Federated LLMs
by: Han, Shanshan, et al.
Published: (2023)

Enhancing Privacy in Federated Learning: Secure Aggregation for Real-World Healthcare Applications
by: Taiello, Riccardo, et al.
Published: (2024)

Secure Federated Data Distillation
by: Arazzi, Marco, et al.
Published: (2025)

The Role of Federated Learning in Improving Financial Security: A Survey
by: Kennedy, Cade Houston, et al.
Published: (2025)

TAPFed: Threshold Secure Aggregation for Privacy-Preserving Federated Learning
by: Xu, Runhua, et al.
Published: (2025)

Security and Privacy Issues and Solutions in Federated Learning for Digital Healthcare
by: Jeong, Hyejun, et al.
Published: (2024)

Fluent: Round-efficient Secure Aggregation for Private Federated Learning
by: Li, Xincheng, et al.
Published: (2024)

Enhancing Security and Privacy in Federated Learning using Low-Dimensional Update Representation and Proximity-Based Defense
by: Li, Wenjie, et al.
Published: (2024)

Enhancing IoT Security Against DDoS Attacks through Federated Learning
by: Shirvani, Ghazaleh, et al.
Published: (2024)

BF-Meta: Secure Blockchain-enhanced Privacy-preserving Federated Learning for Metaverse
by: Liu, Wenbo, et al.
Published: (2024)

Breaking Secure Aggregation: Label Leakage from Aggregated Gradients in Federated Learning
by: Wang, Zhibo, et al.
Published: (2024)

Federated Learning-Based Data Collaboration Method for Enhancing Edge Cloud AI System Security Using Large Language Models
by: Luo, Huaiying, et al.
Published: (2025)

FedMPQ: Secure and Communication-Efficient Federated Learning with Multi-codebook Product Quantization
by: Yang, Xu, et al.
Published: (2024)

Security Assessment of Hierarchical Federated Deep Learning
by: Alqattan, D, et al.
Published: (2024)

GUIDE: Enhancing Gradient Inversion Attacks in Federated Learning with Denoising Models
by: Carletti, Vincenzo, et al.
Published: (2025)

Dual Defense: Enhancing Privacy and Mitigating Poisoning Attacks in Federated Learning
by: Xu, Runhua, et al.
Published: (2025)

Federated Large Language Models: Feasibility, Robustness, Security and Future Directions
by: Jiang, Wenhao, et al.
Published: (2025)

Decentralized Federated Learning: A Survey on Security and Privacy
by: Hallaji, Ehsan, et al.
Published: (2024)

User-Centric Phishing Detection: A RAG and LLM-Based Approach
by: Barwani, Abrar Hamed Al, et al.
Published: (2026)

Buffered Asynchronous Secure Aggregation for Cross-Device Federated Learning
by: Wang, Kun, et al.
Published: (2024)

Secure and Efficient Federated Learning Through Layering and Sharding Blockchain
by: Yuan, Shuo, et al.
Published: (2021)