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
Mobile multimedia sensor networks: Architecture and routing
Min Chen,Mohsen Guizani,Minho Jo +2 more
TL;DR: A routing scheme named mobile multimedia geographic routing (MGR) is specially designed to minimize energy consumption and satisfy constraints on the average end-to-end delay of specific applications in MMSNs, andSimulations verify the MGR's performance to satisfy QoS requirement while saving energy for MMSN's.
Journal ArticleDOI
When Blockchain Meets Edge Intelligence: Trusted and Security Solutions for Consumers
TL;DR: In this article, a blockchain-based edge intelligence system was proposed to ensure the CEDs' data security, privacy, latency, and efficiency, where the public blockchain ensures data communication privacy security, whereas private block-chain ensures secure communication among the EI servers.
Journal ArticleDOI
SE-AOMDV: secure and efficient AOMDV routing protocol for vehicular communications
TL;DR: The results prove that the proposed AOMDV routing protocol is more secure and efficient than AomDV, especially in terms of average end-to-end delay, for high-speed vehicles.
Proceedings ArticleDOI
A novel mechanism for restoring actor connected coverage in wireless sensor and actor networks
TL;DR: This paper presents RACE, a novel mechanism to Restore Actor Connected Coverage with reduced recovery overhead that distinguishes critical/non-critical actors based on 2-hop information to better assess the scope of the failure and optimize the recovery procedure.
Posted Content
A Large-scale Concurrent Data Anonymous Batch Verification Scheme for Mobile Healthcare Crowd Sensing
TL;DR: This work proposes a large-scale concurrent data anonymous batch verification scheme for MHCS based on an improved certificateless aggregate signature that can authenticate all sensing bio-information at once in a privacy preserving way and is proved to be secure.