activity
20242026
most citedBotDetect: A Decentralized Federated Learning Framework for Detecting Financial Bots on the EVM Blockchains

1 citations · 5 across the 16 of their papers we have counts for

collaborators

16 papers

cs.CR2026

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…

cs.DC2026

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…

cs.CR2026

User-Centric Phishing Detection: A RAG and LLM-Based Approach

Abrar Hamed Al Barwani, Abdelaziz Amara Korba, Raja Waseem Anwar

The escalating sophistication of phishing emails necessitates a shift beyond traditional rule-based and conventional machine-learning-based detectors. Although large language model…

cs.CR2025

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…

cs.CR2025★ 1 cited

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…

cs.CR2025★ 1 cited

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…

cs.CR2025

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…

cs.CR2025★ 1 cited

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…

cs.CR2025

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…

cs.CR2024★ 1 cited

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…

cs.CR2024

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…

cs.CR2024

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)…

cs.CR2024

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…

cs.CR2024

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…

cs.CR2024★ 1 cited

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…

cs.CR2024

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…