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Arun Kumar Sangaiah

Researcher at VIT University

Publications -  450
Citations -  16591

Arun Kumar Sangaiah is an academic researcher from VIT University. The author has contributed to research in topics: Computer science & Cloud computing. The author has an hindex of 57, co-authored 398 publications receiving 10691 citations. Previous affiliations of Arun Kumar Sangaiah include National Yunlin University of Science and Technology & Dalian University of Technology.

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The impact of the hybrid platform of internet of things and cloud computing on healthcare systems: opportunities, challenges, and open problems

TL;DR: A comprehensive review of the current literature on integration of CC and IoT to solving various problems in healthcare applications such as smart hospitals, medicine control, and remote medical services and a new concept of the integration ofCC and IoT for healthcare applications, called the CloudIoT-Health paradigm is presented.
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An integrated decision support system based on ANN and Fuzzy_AHP for heart failure risk prediction

TL;DR: The results suggest that the proposed hybrid decision support method could be used to accurately predict HF risks in the clinic and had better performance than seven previous methods that reported prediction accuracies in the range of 57.85-89.01%.
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A three-factor anonymous authentication scheme for wireless sensor networks in internet of things environments

TL;DR: A three-factor anonymous authentication scheme for WSNs in Internet of Things environments, where fuzzy commitment scheme is adopted to handle the user's biometric information and keeps computational efficiency, and also achieves more security and functional features.
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A hybrid model of Internet of Things and cloud computing to manage big data in health services applications

TL;DR: A new model to optimize virtual machines selection in cloud-IoT health services applications to efficiently manage a big amount of data in integrated industry 4.0 applications is proposed and outperforms on the state-of-the-art models in total execution time and the system efficiency.
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Anonymous mutual authentication and key agreement scheme for wearable sensors in wireless body area networks

TL;DR: A lightweight anonymous mutual authentication and key agreement scheme for centralized two-hop WBANs is proposed, which allows sensor nodes attached to the patient’s body to authenticate with the local server/hub node and establish a session key in an anonymous and unlinkable manner.