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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Proceedings ArticleDOI
Bayesian-Based Game Theoretic Model to Guarantee Cooperativeness in Hybrid RF/FSO Mesh Networks
TL;DR: An effective new technique by which to guarantee cooperativeness in Hybrid Radio-Frequency/Free Space Optics (RF/FSO) networks is described, based on a novel Bayesian game-theoretic model that describes both single-stage and multi-stage solutions for the game in terms of its Nash and Perfect Bayesian Equilibriums.
Journal ArticleDOI
Modeling induction and routing to monitor hospitalized patients in multi-hop mobility-aware body area sensor networks
Nadeem Javaid,Ashfaq Ahmad,Anum Tauqir,Muhammad Imran,Mohsen Guizani,Zahoor Ali Khan,Umar Qasim +6 more
TL;DR: A mathematical model for a non-invasive inductive link which is used to recharge the battery of an implanted biomedical device (pacemaker) and a distance-aware relaying energy-efficient and mutual information-based DARE routing protocols for multihop mobility-aware body area sensor networks (MM-BASNs).
Proceedings ArticleDOI
A Pseudo-Random Function Based Key Management Scheme for Heterogeneous Sensor Networks
TL;DR: The performance evaluation and security analysis show that the key management scheme provides better security with low complexity and significant reduction on storage requirement, compared to existing sensor key management schemes.
Journal ArticleDOI
I-SEE: Intelligent, Secure, and Energy-Efficient Techniques for Medical Data Transmission Using Deep Reinforcement Learning
Mhd Saria Allahham,Alaa Awad Abdellatif,Amr Mohamed,Aiman Erbad,Elias Yaacoub,Mohsen Guizani +5 more
TL;DR: An intelligent, secure, and energy-efficient (I-SEE) framework for secure andEnergy-efficient medical data transmission, leveraging the potential of physical-layer security is proposed, incorporating a practical secrecy metric, namely, the secrecy outage probability (SOP), along with the adaptive compression at the edge for providing a secure solution for health monitoring applications.
Journal ArticleDOI
Using Bloom Filter to Generate a Physiological Signal-Based Key for Wireless Body Area Networks
TL;DR: The proposed scheme tries to enhance the randomness of the interpulse-interval from electrocardiograms in the process of digitizing physiological signals and attempts to use the Bloom filter rather than lots of chaff points to conceal the features exchanged for key agreement.