Mohsen Guizani, FIEEE
Mohsen Guizani, FIEEE
Mohamed Bin Zayed University of Artificial Intelligence (MBZUAI)
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Cited by
Cited by
Internet of things: A survey on enabling technologies, protocols, and applications
A Al-Fuqaha, M Guizani, M Mohammadi, M Aledhari, M Ayyash
IEEE communications surveys & tutorials 17 (4), 2347-2376, 2015
Unmanned aerial vehicles (UAVs): A survey on civil applications and key research challenges
H Shakhatreh, AH Sawalmeh, A Al-Fuqaha, Z Dou, E Almaita, I Khalil, ...
Ieee Access 7, 48572-48634, 2019
Deep learning for IoT big data and streaming analytics: A survey
M Mohammadi, A Al-Fuqaha, S Sorour, M Guizani
IEEE Communications Surveys & Tutorials 20 (4), 2923-2960, 2018
MeDShare: Trust-less medical data sharing among cloud service providers via blockchain
QI Xia, EB Sifah, KO Asamoah, J Gao, X Du, M Guizani
IEEE access 5, 14757-14767, 2017
A comprehensive review of the COVID-19 pandemic and the role of IoT, drones, AI, blockchain, and 5G in managing its impact
V Chamola, V Hassija, V Gupta, M Guizani
Ieee access 8, 90225-90265, 2020
A survey of machine and deep learning methods for internet of things (IoT) security
MA Al-Garadi, A Mohamed, AK Al-Ali, X Du, I Ali, M Guizani
IEEE communications surveys & tutorials 22 (3), 1646-1685, 2020
Internet of things architecture: Recent advances, taxonomy, requirements, and open challenges
I Yaqoob, E Ahmed, IAT Hashem, AIA Ahmed, A Gani, M Imran, M Guizani
IEEE wireless communications 24 (3), 10-16, 2017
5G wireless backhaul networks: challenges and research advances
X Ge, H Cheng, M Guizani, T Han
IEEE network 28 (6), 6-11, 2014
Smart cities: A survey on data management, security, and enabling technologies
A Gharaibeh, MA Salahuddin, SJ Hussini, A Khreishah, I Khalil, M Guizani, ...
IEEE Communications Surveys & Tutorials 19 (4), 2456-2501, 2017
An effective key management scheme for heterogeneous sensor networks
X Du, Y Xiao, M Guizani, HH Chen
Ad hoc networks 5 (1), 24-34, 2007
Home M2M networks: Architectures, standards, and QoS improvement
Y Zhang, R Yu, S Xie, W Yao, Y Xiao, M Guizani
IEEE Communications Magazine 49 (4), 44-52, 2011
A survey on federated learning: The journey from centralized to distributed on-site learning and beyond
S AbdulRahman, H Tout, H Ould-Slimane, A Mourad, C Talhi, M Guizani
IEEE Internet of Things Journal 8 (7), 5476-5497, 2020
Reliable federated learning for mobile networks
J Kang, Z Xiong, D Niyato, Y Zou, Y Zhang, M Guizani
IEEE Wireless Communications 27 (2), 72-80, 2020
Deep feature learning for medical image analysis with convolutional autoencoder neural network
M Chen, X Shi, Y Zhang, D Wu, M Guizani
IEEE Transactions on Big Data 7 (4), 750-758, 2017
A survey on mobile anchor node assisted localization in wireless sensor networks
G Han, J Jiang, C Zhang, TQ Duong, M Guizani, GK Karagiannidis
IEEE Communications Surveys & Tutorials 18 (3), 2220-2243, 2016
A survey of secure mobile ad hoc routing protocols
L Abusalah, A Khokhar, M Guizani
IEEE communications surveys & tutorials 10 (4), 78-93, 2008
Internet-of-things-based smart environments: state of the art, taxonomy, and open research challenges
E Ahmed, I Yaqoob, A Gani, M Imran, M Guizani
IEEE Wireless Communications 23 (5), 10-16, 2016
Semisupervised deep reinforcement learning in support of IoT and smart city services
M Mohammadi, A Al-Fuqaha, M Guizani, JS Oh
IEEE Internet of Things Journal 5 (2), 624-635, 2017
CorrAUC: a malicious bot-IoT traffic detection method in IoT network using machine-learning techniques
M Shafiq, Z Tian, AK Bashir, X Du, M Guizani
IEEE Internet of Things Journal 8 (5), 3242-3254, 2020
Privacy-preserving support vector machine training over blockchain-based encrypted IoT data in smart cities
M Shen, X Tang, L Zhu, X Du, M Guizani
IEEE Internet of Things Journal 6 (5), 7702-7712, 2019
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