61 citations · 97 across the 12 of their papers we have counts for
8 papers · 1 filter
F-RBA: A Federated Learning-based Framework for Risk-based Authentication
Hamidreza Fereidouni, Abdelhakim Senhaji Hafid, Dimitrios Makrakis +1
The proliferation of Internet services has led to an increasing need to protect private data. User authentication serves as a crucial mechanism to ensure data security. Although ro…
Privacy-Enhanced Adaptive Authentication: User Profiling with Privacy Guarantees
Yaser Baseri, Abdelhakim Senhaji Hafid, Dimitrios Makrakis
User profiling is a critical component of adaptive risk-based authentication, yet it raises significant privacy concerns, particularly when handling sensitive data. Profiling invol…
Maximal Extractable Value Mitigation Approaches in Ethereum and Layer-2 Chains: A Comprehensive Survey
Zeinab Alipanahloo, Abdelhakim Senhaji Hafid, Kaiwen Zhang
Maximal Extractable Value (MEV) represents a pivotal challenge within the Ethereum ecosystem; it impacts the fairness, security, and efficiency of both Layer 1 (L1) and Layer 2 (L2…
Navigating Quantum Security Risks in Networked Environments: A Comprehensive Study of Quantum-Safe Network Protocols
Yaser Baseri, Vikas Chouhan, Abdelhakim Hafid
The emergence of quantum computing poses a formidable security challenge to network protocols traditionally safeguarded by classical cryptographic algorithms. This paper provides a…
Fully Distributed Fog Load Balancing with Multi-Agent Reinforcement Learning
Maad Ebrahim, Abdelhakim Hafid
Real-time Internet of Things (IoT) applications require real-time support to handle the ever-growing demand for computing resources to process IoT workloads. Fog Computing provides…
A Blockchain-Based Audit Mechanism for Trust and Integrity in IoT-Fog Environments
Ismael Martinez, Abdelhakim Senhaji Hafid, Michel Gendreau
The full realization of smart city technology is dependent on the secure and honest collaboration between IoT applications and edge-computing. In particular, resource constrained I…
Integration of Federated Learning and Blockchain in Healthcare: A Tutorial
Yahya Shahsavari, Oussama A. Dambri, Yaser Baseri +2
Wearable devices and medical sensors revolutionize health monitoring, raising concerns about data privacy in ML for healthcare. This tutorial explores FL and BC integration, offeri…
Vulnerabilities of smart contracts and mitigation schemes: A Comprehensive Survey
Wejdene Haouari, Abdelhakim Senhaji Hafid, Marios Fokaefs
Ethereum smart contracts are highly powerful, immutable, and able to retain massive amounts of tokens. However, smart contracts keep attracting attackers to benefit from smart cont…