6 citations · 13 across the 26 of their papers we have counts for
29 papers
DARTIC: Decentralized Anonymous Reputation at Scale for Trustworthy Crowdsourcing
Mouhamed Amine Bouchiha, Mourad Rabah, Ronan Champagnat +2
On-chain crowdsourcing leverages blockchain's decentralization, transparency, and tamper-resistance to build trustworthy and verifiable Web3 crowdsourced services. However, existin…
Automated Byzantine-Resilient Clustered Decentralized Federated Learning for Battery Intelligence in Connected EVs
Mouhamed Amine Bouchiha, Abdelaziz Amara Korba, Yacine Ghamri-Doudane
Federated learning (FL) has emerged as a promising paradigm for managing electric vehicle (EV) battery data in intelligent transportation systems (ITS), enabling privacy-preserving…
B5GRoam: A Zero Trust Framework for Secure and Efficient On-Chain B5G Roaming
Mohamed Abdessamed Rezazi, Mouhamed Amine Bouchiha, Ahmed Mounsf Rafik Bendada +1
Roaming settlement in 5G and beyond networks demands secure, efficient, and trustworthy mechanisms for billing reconciliation between mobile operators. While blockchain promises de…
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…
EnerSwap: Large-Scale, Privacy-First Automated Market Maker for V2G Energy Trading
Ahmed Mounsf Rafik Bendada, Yacine Ghamri-Doudane
With the rapid growth of Electric Vehicle (EV) technology, EVs are destined to shape the future of transportation. The large number of EVs facilitates the development of the emergi…
Advancing Autonomous Incident Response: Leveraging LLMs and Cyber Threat Intelligence
Amine Tellache, Abdelaziz Amara Korba, Amdjed Mokhtari +2
Effective incident response (IR) is critical for mitigating cyber threats, yet security teams are overwhelmed by alert fatigue, high false-positive rates, and the vast volume of un…
Fuse and Federate: Enhancing EV Charging Station Security with Multimodal Fusion and Federated Learning
Rabah Rahal, Abdelaziz Amara Korba, Yacine Ghamri-Doudane
The rapid global adoption of electric vehicles (EVs) has established electric vehicle supply equipment (EVSE) as a critical component of smart grid infrastructure. While essential…
Zero-Day Botnet Attack Detection in IoV: A Modular Approach Using Isolation Forests and Particle Swarm Optimization
Abdelaziz Amara Korba, Nour Elislem Karabadji, Yacine Ghamri-Doudane
The Internet of Vehicles (IoV) is transforming transportation by enhancing connectivity and enabling autonomous driving. However, this increased interconnectivity introduces new se…
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…
BARTPredict: Empowering IoT Security with LLM-Driven Cyber Threat Prediction
Alaeddine Diaf, Abdelaziz Amara Korba, Nour Elislem Karabadji +1
The integration of Internet of Things (IoT) technology in various domains has led to operational advancements, but it has also introduced new vulnerabilities to cybersecurity threa…
Beyond Detection: Leveraging Large Language Models for Cyber Attack Prediction in IoT Networks
Alaeddine Diaf, Abdelaziz Amara Korba, Nour Elislem Karabadji +1
In recent years, numerous large-scale cyberattacks have exploited Internet of Things (IoT) devices, a phenomenon that is expected to escalate with the continuing proliferation of I…
A Life-long Learning Intrusion Detection System for 6G-Enabled IoV
Abdelaziz Amara korba, Souad Sebaa, Malik Mabrouki +2
The introduction of 6G technology into the Internet of Vehicles (IoV) promises to revolutionize connectivity with ultra-high data rates and seamless network coverage. However, this…
AI-Driven Fast and Early Detection of IoT Botnet Threats: A Comprehensive Network Traffic Analysis Approach
Abdelaziz Amara korba, Aleddine Diaf, Yacine Ghamri-Doudane
In the rapidly evolving landscape of cyber threats targeting the Internet of Things (IoT) ecosystem, and in light of the surge in botnet-driven Distributed Denial of Service (DDoS)…
Multi-agent Reinforcement Learning-based Network Intrusion Detection System
Amine Tellache, Amdjed Mokhtari, Abdelaziz Amara Korba +1
Intrusion Detection Systems (IDS) play a crucial role in ensuring the security of computer networks. Machine learning has emerged as a popular approach for intrusion detection due…
AntibotV: A Multilevel Behaviour-based Framework for Botnets Detection in Vehicular Networks
Rabah Rahal, Abdelaziz Amara Korba, Nacira Ghoualmi-Zine +2
Connected cars offer safety and efficiency for both individuals and fleets of private vehicles and public transportation companies. However, equipping vehicles with information and…
Anomaly-based Framework for Detecting Power Overloading Cyberattacks in Smart Grid AMI
Abdelaziz Amara Korba, Nouredine Tamani, Yacine Ghamri-Doudane +1
The Advanced Metering Infrastructure (AMI) is one of the key components of the smart grid. It provides interactive services for managing billing and electricity consumption, but it…
Federated Learning for Zero-Day Attack Detection in 5G and Beyond V2X Networks
Abdelaziz Amara korba, Abdelwahab Boualouache, Bouziane Brik +3
Deploying Connected and Automated Vehicles (CAVs) on top of 5G and Beyond networks (5GB) makes them vulnerable to increasing vectors of security and privacy attacks. In this contex…
Zero-X: A Blockchain-Enabled Open-Set Federated Learning Framework for Zero-Day Attack Detection in IoV
Abdelaziz Amara korba, Abdelwahab Boualouache, Yacine Ghamri-Doudane
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…
RollupTheCrowd: Leveraging ZkRollups for a Scalable and Privacy-Preserving Reputation-based Crowdsourcing Platform
Ahmed Mounsf Rafik Bendada, Mouhamed Amine Bouchiha, Mourad Rabah +1
Current blockchain-based reputation solutions for crowdsourcing fail to tackle the challenge of ensuring both efficiency and privacy without compromising the scalability of the blo…
LLMChain: Blockchain-based Reputation System for Sharing and Evaluating Large Language Models
Mouhamed Amine Bouchiha, Quentin Telnoff, Souhail Bakkali +4
Large Language Models (LLMs) have witnessed rapid growth in emerging challenges and capabilities of language understanding, generation, and reasoning. Despite their remarkable perf…
A Review of the In-Network Computing and Its Role in the Edge-Cloud Continuum
Manel Gherari, Fatemeh Aghaali Akbari, Sama Habibi +12
Future networks are anticipated to enable exciting applications and industrial services ranging from Multisensory Extended Reality to Holographic and Haptic communication. These se…