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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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Internet of Things Mobility Over Information-Centric/Named-Data Networking

TL;DR: The relevant work that studies the merger between ICN and IoT is surveyed, the emergence, evolution, and state-of-the-art mobility approach are described, and major scalability challenges when using ICN as a communication enabler for mobile IoT are presented.
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A Dynamic Trust Evaluation and Update Mechanism Based on C4.5 Decision Tree in Underwater Wireless Sensor Networks

TL;DR: A new trust evaluation and update mechanism for underwater wireless sensor networks based on the C4.5 decision tree algorithm (TEUC) is proposed and results demonstrate that the proposed algorithm outperforms the traditional ones in a dynamic network environment in terms of malicious node detection and energy consumption.
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Artificial Intelligence (AI)-Empowered Intrusion Detection Architecture for the Internet of Vehicles

TL;DR: In this article, an artificial intelligence (AI)-based intrusion detection architecture comprising Deep Learning Engines (DLEs) for identification and classification of the vehicular traffic in the Internet of Vehicles (IoV) networks into potential cyberattack types is presented.
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Extracting and Exploiting Inherent Sparsity for Efficient IoT Support in 5G: Challenges and Potential Solutions

TL;DR: In this paper, the authors discuss the challenges facing the support of IoTs through 5G systems, and show how sparsity can be exploited for addressing these challenges, especially in terms of enabling wideband spectrum management and handling the connectivity by exploiting deviceto-device communications and edge cloud.
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Region based cooperative routing in underwater wireless sensor networks

TL;DR: A region based cooperative routing protocol (RBCRP) for amplify and forward (AF) technique over Rayleigh faded channels in UWSNs shows that it performs better than the existing incremental best relay technique (IBRT) in terms of throughput, network lifetime and outage probability.