most citedPrediction and Detection of FDIA and DDoS Attacks in 5G Enabled IoT

99 citations · 252 across the 6 of their papers we have counts for

collaborators

6 papers

cs.NI2022

An Overview of Blockchain and 5G Networks

Hajar Moudoud, Soumaya Cherkaoui, Lyes Khoukhi

The 5G wireless networks are potentially revolutionizing future technologies. The 5G technologies are expected to foresee demands of diverse vertical applications with diverse requ…

cs.NI202289 cited

An IoT Blockchain Architecture Using Oracles and Smart Contracts: the Use-Case of a Food Supply Chain

Hajar Moudoud, Soumaya Cherkaoui, Lyes Khoukhi

The blockchain is a distributed technology which allows establishing trust among unreliable users who interact and perform transactions with each other. While blockchain technology…

cs.CR202299 cited

Prediction and Detection of FDIA and DDoS Attacks in 5G Enabled IoT

Hajar Moudoud, Lyes Khoukhi, Soumaya Cherkaoui

Security in the fifth generation (5G) networks has become one of the prime concerns in the telecommunication industry. 5G security challenges come from the fact that 5G networks in…

cs.CR202230 cited

Towards a Scalable and Trustworthy Blockchain: IoT Use Case

Hajar Moudoud, Soumaya Cherkaoui, Lyes Khoukhi

Recently, blockchain has gained momentum as a novel technology that gives rise to a plethora of new decentralized applications (e.g., Internet of Things (IoT)). However, its integr…

cs.CR2022

Towards a Secure and Reliable Federated Learning using Blockchain

Hajar Moudoud, Soumaya Cherkaoui, Lyes Khoukhi

Federated learning (FL) is a distributed machine learning (ML) technique that enables collaborative training in which devices perform learning using a local dataset while preservin…

cs.DC202234 cited

Data-Quality Based Scheduling for Federated Edge Learning

Afaf Taik, Hajar Moudoud, Soumaya Cherkaoui

FEderated Edge Learning (FEEL) has emerged as a leading technique for privacy-preserving distributed training in wireless edge networks, where edge devices collaboratively train ma…