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.
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MDBV: Monitoring Data Batch Verification for Survivability of Internet of Vehicles
TL;DR: In this paper, the authors proposed a monitoring data batch verification scheme based on an improved certificateless aggregate signature for Internet of Vehicles (IoV), named MDBV, which is proved to be secure in the random oracle model assuming the intractability of the computational Diffie-Hellman problem.
Journal ArticleDOI
Flying Social Networks: Architecture, Challenges and Open Issues
TL;DR: This article proposes a comprehensive architecture of FSN and describes each of its function modules and introduces a novel social-based routing scheme and design a new caching scheme to reduce the response delay and increase the response probability in FSN.
Proceedings ArticleDOI
Mathematical Evaluation of Human Immune Systems For Securing Software Defined Networks
TL;DR: A case study of the human immune system is presented in which mathematical models of innate and adaptive immune system are developed and results obtained substantiate the reliability of thehuman immune mathematical model and advocate that having a strong security and privacy around the human body can contribute in building a strong network system.
Proceedings ArticleDOI
Conformal circular patch antenna array design for use in jet engines
TL;DR: A novel low profile two elements array of circular patch antenna is designed, analyzed and simulated for wireless sensor applications in extremly harsh environments like jet engines.
Proceedings ArticleDOI
UAVs Smart heuristics for Target Coverage and Path Planning Through Strategic Locations
TL;DR: In this article, the authors proposed to minimize energy consumption by defining a minimal number of strategic target-coverage locations that the drone needs to traverse and efficiently plan the drone's route through these locations.