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Towards Trustworthy Agentic IoEV: AI Agents for Explainable Cyberthreat Mitigation and State Analytics
Meryem Malak Dif, Mouhamed Amine Bouchiha, Abdelaziz Amara Korba +1
The Internet of Electric Vehicles (IoEV) envisions a tightly coupled ecosystem of electric vehicles (EVs), charging infrastructure, and grid services, yet it remains vulnerable to…
XAI-Driven Machine Learning System for Driving Style Recognition and Personalized Recommendations
Feriel Amel Sellal, Ahmed Ayoub Bellachia, Meryem Malak Dif +3
Artificial intelligence (AI) is increasingly used in the automotive industry for applications such as driving style classification, which aims to improve road safety, efficiency, a…
BotDetect: A Decentralized Federated Learning Framework for Detecting Financial Bots on the EVM Blockchains
Ahmed Mounsf Rafik Bendada, Abdelaziz Amara Korba, Mouhamed Amine Bouchiha +1
The rapid growth of decentralized finance (DeFi) has led to the widespread use of automated agents, or bots, within blockchain ecosystems like Ethereum, Binance Smart Chain, and So…
AutoDFL: A Scalable and Automated Reputation-Aware Decentralized Federated Learning
Meryem Malak Dif, Mouhamed Amine Bouchiha, Mourad Rabah +1
Blockchained federated learning (BFL) combines the concepts of federated learning and blockchain technology to enhance privacy, security, and transparency in collaborative machine…
VerifBFL: Leveraging zk-SNARKs for A Verifiable Blockchained Federated Learning
Ahmed Ayoub Bellachia, Mouhamed Amine Bouchiha, Yacine Ghamri-Doudane +1
Blockchain-based Federated Learning (FL) is an emerging decentralized machine learning paradigm that enables model training without relying on a central server. Although some BFL f…