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Elham Hassanain

Researcher at Umm al-Qura University

Publications -  10
Citations -  541

Elham Hassanain is an academic researcher from Umm al-Qura University. The author has contributed to research in topics: Smart city & Cloud computing. The author has an hindex of 6, co-authored 10 publications receiving 344 citations. Previous affiliations of Elham Hassanain include Information Technology University.

Papers
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Blockchain and IoT-Based Cognitive Edge Framework for Sharing Economy Services in a Smart City

TL;DR: A Blockchain-based infrastructure to support security- and privacy-oriented spatio-temporal smart contract services for the sustainable Internet of Things (IoT)-enabled sharing economy in mega smart cities.
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Blockchain-Based Mobile Edge Computing Framework for Secure Therapy Applications

TL;DR: An in-home therapy management framework, which leverages the IoT nodes and the blockchain-based decentralized MEC paradigm to support low-latency, secure, anonymous, and always-available spatiotemporal multimedia therapeutic data communication within an on-demand data-sharing scenario.
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Spatial Blockchain-Based Secure Mass Screening Framework for Children With Dyslexia

TL;DR: A mobile multimedia Internet of Things (IoT)-based environment that can capture multimodal smartphone or tab-based user interaction data during dyslexia testing and share it via a mobile edge network, which employs auto-grading algorithms to find dyslexic symptoms.
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Semantic Multimedia Fog Computing and IoT Environment: Sustainability Perspective

TL;DR: The proposed sustainable framework can potentially support context-aware smart city services such as finding a lost person within the crowd, showing green and health risk prone zones, semantic and location-aware notifications of events of interest, semantic IoT-based routing, and dealing with emergency situations.
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Towards a Secure Mobile Edge Computing Framework for Hajj

TL;DR: A mobile edge computing framework that can support real-time, location-aware personalized services to a very large crowd and is designed to switch between FCT and cloud, depending on the task, network condition, geographic nearness, and resources available within the client unit.