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
TPPR: A Trust-Based and Privacy-Preserving Platoon Recommendation Scheme in VANET
Chuan Zhang,Liehuang Zhu,Chang Xu,Kashif Sharif,Kai Ding,Ximeng Liu,Xiaojiang Du,Mohsen Guizani +7 more
TL;DR: A trust-based and privacy-preserving platoon recommendation scheme, called TPPR, is presented to enable potential user vehicles to avoid selecting the malicious head vehicles and to preserve vehicles’ privacy.
Journal ArticleDOI
A Mobile Charging Algorithm Based on Multicharger Cooperation in Internet of Things
TL;DR: A mobile charging algorithm based on multicharger cooperation (MCCA) for IoT with the random deployment of nodes that can effectively balance the energy consumption, reduce the number of nonfunctional nodes, improve the charging efficiency, and extend the network lifetime.
Proceedings ArticleDOI
Cloud of Things for Sensing as a Service: Sensing Resource Discovery and Virtualization
TL;DR: A distributed sensing resource discovery algorithm based on a gossip policy that selects IoT devices with predefined sensing capabilities as fast as possible and a distributed virtualization algorithm that efficiently deploys virtual sensor networks on top of a subset of the selected IoT devices.
Journal ArticleDOI
Accountable and Privacy-Enhanced Access Control in Wireless Sensor Networks
TL;DR: A novel protocol, named APAC, which can enforce strict access control so that the sensed data is only accessible by the authorized users and offers sophisticated user privacy protection and does not rely on the existence of a trusted third party.
Journal ArticleDOI
Security and Privacy for Edge Intelligence in 5G and Beyond Networks: Challenges and Solutions
TL;DR: In this paper, the authors investigate typical security and privacy issues in edge intelligence in B5G networks and devise a framework to integrate blockchain with such systems, which can provide guaranteed security as well as privacy.