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Thaier Hayajneh

Researcher at Fordham University

Publications -  85
Citations -  3004

Thaier Hayajneh is an academic researcher from Fordham University. The author has contributed to research in topics: Cryptography & Wireless sensor network. The author has an hindex of 25, co-authored 82 publications receiving 1984 citations. Previous affiliations of Thaier Hayajneh include Hashemite University & University UCINF.

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Healthcare Blockchain System Using Smart Contracts for Secure Automated Remote Patient Monitoring

TL;DR: This work created a system where sensors communicate with a smart device that calls smart contracts and writes records of all events on the blockchain, which would support real-time patient monitoring and medical interventions and automate the delivery of notifications to all involved parties in a HIPAA compliant manner.
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Smartphone and Smartwatch-Based Biometrics Using Activities of Daily Living

TL;DR: The results presented in this article show that motion-based biometrics using smartphones and/or smartwatches yield good results, and that these results hold for the eighteen activities, and also demonstrates that certain easy-to-perform activities, such as clapping, may be a viable alternative (or supplement) to gait-basedBiometrics.
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A survey on lightweight block ciphers for low-resource devices

TL;DR: A comprehensive review of state-of-the-art research progress in lightweight block ciphers' implementation and future research directions is presented and the energy/bit metric is designated as the most appropriate metric for energy-constrained low-resource designs.
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A survey of wireless technologies coexistence in WBAN: analysis and open research issues

TL;DR: A comprehensive study and in-depth analysis of coexistence issues and interference mitigation solutions in WBAN technologies and using low-power WiFi for WBANs is investigated and proved to be a feasible option compared to other wireless technologies.
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Secured Data Collection With Hardware-Based Ciphers for IoT-Based Healthcare

TL;DR: A secure data collection scheme for IoT-based healthcare system named SecureData, which applies a distributed database technique that includes a number of cloud data servers to guarantee patients’ personal data privacy at the cloud computing layer and the performance of SecureData is validated through simulations with FPGA.