Zero Trust Context-Aware Access Control Framework for IoT Devices in Healthcare Cloud AI Ecosystem

Author:

Al-hammuri Khalid1,Gebali Fayez1,Kanan Awos2,Mamun Mohammad3,Hazratifard Seyed Mehdi1,Alfar Hamza1

Affiliation:

1. University of Victoria

2. Princess Sumaya University for Technology

3. Government of Canada

Abstract

Abstract It is essential for modern healthcare systems to utilize the Internet of Things (IoT) devices that facilitate and establish the infrastructure for smart hospitals and telehealth. The advancement in telehealth technology and the increasing penetration of IoT devices make them vulnerable to different types of attacks, which require additional research and development for security tools. This article proposes a zero trust context-aware framework to manage the access of the main components in the cloud ecosystem, the users, IoT devices and output data. The framework also considers regulatory compliance and maintains the chain of trust by proposing a critical and bond trust scoring assessment that is based on a set of features and cloud-native micro-services, including authentication, encryption, logging, authorizations and machine learning like the word2vec model within Cloud AI ecosystem.

Publisher

Research Square Platform LLC

Reference29 articles.

1. Chen, Baozhan and Qiao, Siyuan and Zhao, Jie and Liu, Dongqing and Shi, Xiaobing and Lyu, Minzhao and Chen, Haotian and Lu, Huimin and Zhai, Yunkai (2020) A security awareness and protection system for 5G smart healthcare based on zero-trust architecture. IEEE Internet of Things Journal 8(13): 10248--10263 IEEE

2. Hui Wen Loh and Chui Ping Ooi and Silvia Seoni and Prabal Datta Barua and Filippo Molinari and U Rajendra Acharya (2022) Application of explainable artificial intelligence for healthcare: A systematic review of the last decade (2011{\textendash}2022). Computer Methods and Programs in Biomedicine 226: 107161 https://doi.org/10.1016/j.cmpb.2022.107161, Elsevier {BV}, nov, https://www.sciencedirect.com/science/article/pii/S0169260722005429

3. Valizadeh, Mina and Parde, Natalie (2022) The AI doctor is in: A survey of task-oriented dialogue systems for healthcare applications. 6638--6660, Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

4. Khan, Shahzad and Iqbal, Waseem and Waheed, Abdul and Mehmood, Gulzar and Khan, Shawal and Zareei, Mahdi and Biswal, Rajesh Roshan (2022) An efficient and secure revocation-enabled attribute-based access control for eHealth in smart society. Sensors 22(1): 336 Multidisciplinary Digital Publishing Institute

5. Sanders, Matthew W and Yue, Chuan (2019) Mining Least Privilege Attribute Based Access Control Policies. Association for Computing Machinery, New York, NY, USA, ACSAC '19, San Juan, Puerto Rico, USA, machine learning, principle of least privilege, rule mining, ABAC, 13, 404 –416, Proceedings of the 35th Annual Computer Security Applications Conference, 10.1145/3359789.3359805, https://doi.org/10.1145/3359789.3359805, 9781450376280

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3