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An IoT based Secure Patient Health Monitoring System

Computers, Materials & Continua 2022年第2期70卷 3637-3652页

作者： Kusum Yadav Ali Alharbi Anurag Jain Rabie A.Ramadan College of Computer Science and Engineering University of Ha’ilHa’ilKingdom of Saudi Arabia Virtualization Department School of Computer ScienceUniversity of Petroleum and Energy StudiesDehradun-248007UttarakhandIndia

Internet of things(IoT)field has emerged due to the rapid growth of artificial intelligence and communication *** use of IoT technology in modern healthcare environments is convenient for doctors and patients as it can be used in real-time monitoring of patients,proper administration of patient information,and healthcare ***,the usage of IoT in the healthcare domain will become a nightmare if patient information is not securely maintainedwhile transferring over an insecure network or storing at the administrator *** this manuscript,the authors have developed a secure IoT healthcare monitoring system using the Blockchainbased XOR Elliptic Curve Cryptography(BC-XORECC)technique to avoid various vulnerable ***,thework has established an authentication process for patient details by generating tokens,keys,and tags using Length Ceaser Cipher-based PearsonHashingAlgorithm(LCC-PHA),EllipticCurve Cryptography(ECC),and Fishers Yates Shuffled based Adelson-Velskii and Landis(FYS-AVL)*** authentications prevent unauthorized users from accessing or misuse the *** that,a secure data transfer is performed using BC-XORECC,which acts faster by maintaining high data privacy and blocking the path for the ***,the linear spline kernel-based recurrent neural network(LSK-RNN)classification monitors the patient’s health *** whole developed framework brings out a secure data transfer without data loss or data breaches and remains efficient for health care monitoring via *** analysis shows that the proposed framework achieves a faster encryption and decryption time,classifies the patient’s health status with an accuracy of 89%,and remains robust comparedwith the existing state-of-the-art method.

关键词： Internet of things blockchain-based XOR elliptic curve cryptography linear spline kernel-based recurrent neural network health care monitoring length Ceaser cipher-based Pearson hashing algorithm elliptic curve cryptography fishers yates shuffled based Adelson-Velskii and Landis tree

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