M
Mohsen Guizani
Researcher at Qatar University
Publications - 1337
Citations - 48275
Mohsen Guizani is an academic researcher from Qatar University. The author has contributed to research in topics: Computer science & Cloud computing. The author has an hindex of 79, co-authored 1110 publications receiving 31282 citations. Previous affiliations of Mohsen Guizani include Jaypee Institute of Information Technology & University College for Women.
Papers
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Journal ArticleDOI
A Differentially Private Big Data Nonparametric Bayesian Clustering Algorithm in Smart Grid
TL;DR: To achieve privacy-preserving cluster analysis in smart grid, IDPC is proposed, a Differentially Private Clustering algorithm based on the Infinite Gaussian mixture model (IGMM), which uses a combination of nonparametric Bayesian method and differential privacy.
Journal ArticleDOI
Enabling Green Wireless Networking With Device-to-Device Links: A Joint Optimization Approach
TL;DR: The aim of this paper is to enable green D2D communications in OFDMA-based wireless networks by presenting two effective and efficient algorithms, which both jointly determines mode selection, channel allocation and power assignment.
Proceedings ArticleDOI
Opportunistic Exploitation of Bandwidth Resources through Reinforcement Learning
TL;DR: A machine learning-based scheme that will exploit the cognitive radios' capabilities to enable effective OSA, thus improving the efficiency of spectrum utilization and achieving high performances by learning from interaction with the environment.
Proceedings ArticleDOI
V-Chain: A Blockchain-Based Car Lease Platform
Kwame Opuni-Boachie Obour Agyekum,Qi Xia,Emmanuel Boateng Sifah,Sandro Amofa,Kingsley Nketia Acheampong,Jianbin Gao,Ruidong Chen,Hu Xia,James C. Gee,Xiaojiang Du,Mohsen Guizani +10 more
TL;DR: This paper develops a car lease platform that is solely based on blockchain technology, which uses the smart contract, which is a programmable script that enforces decisions on all transactions made on the system, and also applies penalties to perpetrators.
Journal ArticleDOI
FEDGAN-IDS: Privacy-preserving IDS using GAN and Federated Learning
TL;DR: In this article , a federated deep learning (DL) Intrusion Detection System (IDS) using GAN, named FEDGAN-IDS, was proposed to detect cyber threats in smart Internet of Things (IoT) systems; smarthomes, smart e-healthcare systems and smart cities.