With the evolution of the Internet of Things, our health-monitoring systems are advancing day by day. We explore this emerging technology and propose an advanced security framework that comprises a four-layer architecture health-monitoring system. We collect patient data using smart and intelligent devices. We categorize this collected information into different medical classes. Maintaining privacy and security while collecting this information from patient’s wearable smart and intelligent sensing devices is today’s major challenging task. Our main aim is to address this challenging task. So, We propose a lightweight and secure communication framework that is based on blockchain architecture for decentralized IoT networks. We use the concept of transfer learning for classification into different classes. We develop a model, which uses blockchain for security and takes an advantage of transfer learning that uses multiple pertained models. The presented routing methodology incorporates parameters viz. probability, credibility rating, node left energy to forward the data to its target station so that the network overhead and energy usage is minimized. For the classification of the collected patient information, we use 4 different pre-trained convolutional neural networks model: InceptionV3, ResNet50, SqueezeNet, and VGG19. After the simulation of the proposed routing protocol and we compare it with other benchmark protocols on different performance metrics. The experimental results give 92.24% classification accuracy better than earlier models.
Dr. Poonam Rani is an Associate Professor in the Computer Science and Engineering department at Netaji Subhas University of Technology (NSUT), formerly NSIT, Dwarka, New Delhi, India. She has done her Ph.D. in the Computer Engineering department at Delhi University, India, in Jan 2021. Her research interest includes Blockchain, IoT, Social networks Analysis, Soft Computing, and Machine learning. She has published several papers in reputed international journals including SCIE and international Scopus conferences and book chapters. She is invited as a Faculty Resource Person/Session Chair/Reviewer/TPC member in different FDP, conferences, and journals. She has reviewed several research articles in reputed international journals. Currently, she is a member of ISTE, IETE, and IEEE. She has worked in the timetable committee and admission committee. She is currently working as chairperson of DTCRC (CSE), Departmental NBA coordinator, Departmental Library coordinator, and member of AAI (Alumni Affairs Interim). She has guided several B.Tech. and M.Tech. students in their major projects. She is also teaching and guiding Ph.D. students in the CSE department of NSUT.
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