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Mohammed Aledhari

Researcher at Kennesaw State University

Publications -  24
Citations -  7082

Mohammed Aledhari is an academic researcher from Kennesaw State University. The author has contributed to research in topics: Computer science & Deep learning. The author has an hindex of 8, co-authored 22 publications receiving 5122 citations. Previous affiliations of Mohammed Aledhari include Western Michigan University.

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Journal ArticleDOI

Internet of Things: A Survey on Enabling Technologies, Protocols, and Applications

TL;DR: An overview of the Internet of Things with emphasis on enabling technologies, protocols, and application issues, and some of the key IoT challenges presented in the recent literature are provided and a summary of related research work is provided.
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Federated Learning: A Survey on Enabling Technologies, Protocols, and Applications.

TL;DR: A more thorough summary of the most relevant protocols, platforms, and real-life use-cases of FL is provided to enable data scientists to build better privacy-preserved solutions for industries in critical need of FL.
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A survey on internet of things security: Requirements, challenges, and solutions

TL;DR: A taxonomy that taps into the three-layer IoT architecture as a reference to identify security properties and requirements for each layer is built upon, classifying the potential IoT security threat and challenges by an architectural view.
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Decentralized Authentication of Distributed Patients in Hospital Networks Using Blockchain

TL;DR: It is shown that the proposed architecture's decentralized authentication among a distributed affiliated hospital network does not require re-authentication, which will have a considerable impact on increasing throughput, reducing overhead, improving response time, and decreasing energy consumption in the network.
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Enabling Drones in the Internet of Things With Decentralized Blockchain-Based Security

TL;DR: This work introduces a secure authentication model with low latency for drones in smart cities that looks to leverage blockchain technology, and uses a customized decentralized consensus, known as drone-based delegated proof of stake (DDPOS), for drones among zones in a smart city that does not require reauthentication.