M
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.
Journal ArticleDOI
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.
Journal ArticleDOI
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.
Journal ArticleDOI
Decentralized Authentication of Distributed Patients in Hospital Networks Using Blockchain
Abbas Yazdinejad,Gautam Srivastava,Reza M. Parizi,Ali Dehghantanha,Kim-Kwang Raymond Choo,Mohammed Aledhari +5 more
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.
Journal ArticleDOI
Enabling Drones in the Internet of Things With Decentralized Blockchain-Based Security
Abbas Yazdinejad,Reza M. Parizi,Ali Dehghantanha,Hadis Karimipour,Gautam Srivastava,Mohammed Aledhari +5 more
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.