An Efficient Blockchain-Based Healthcare System Using Artificial Intelligence
作者机构:Department of Software Systems and Cyber-SecuritySchool of ITMonash University47500Subang JayaMalaysia Department of Computer Engineering and Department of AI Convergence NetworkAjou UniversitySuwon16499Korea Department of Information TechnologyCollege of Computers and Information TechnologyTaif University11099Taif21944Saudi Arabia Department of Computer ScienceCollege of Computers and Information TechnologyTaif University11099Taif21944Saudi Arabia
出 版 物:《Computers, Materials & Continua》 (计算机、材料和连续体(英文))
年 卷 期:2022年第71卷第5期
页 面:2721-2738页
核心收录:
学科分类:08[工学] 0812[工学-计算机科学与技术(可授工学、理学学位)]
基 金:This research was supported by Taif University Researchers Supporting Project number(TURSP-2020/98) Taif University Taif Saudi Arabia
主 题:Personal health records blockchain technology artificial intelligence access control attributes health care system
摘 要:Personal health records and electronic health records are considered as the most sensitive information in the healthcare *** solutions have been provided for implementing the digital health system using blockchain,but there are several challenges,such as secure access control and privacy is one of the prominent ***,we propose a novel framework and implemented an attribute-based access control system using ***,we have also integrated artificial intelligence(AI)based approach to identify the behavior and activity for security *** current methods only focus on the related clinical records received from a medical ***,existing methods are too inflexible to resourcefully sustenance metadata changes.A secure patient data access framework is proposed in this research,integrating blockchain,trust chain,and blockchain methods to overcome these problems in the literature for sharing and accessing digital healthcare *** have used a neural network and classifier to categorize the user access to our proposed *** proposed scheme provides an intelligent and secure blockchain-based access control system in the digital healthcare *** results surpass the existing solutions by collecting attributes such as the number of transactions,number of nodes,transaction delay,block creation,and signature verification time.