Literature DB >> 35783535

A Security Awareness and Protection System for 5G Smart Healthcare Based on Zero-Trust Architecture.

Baozhan Chen1, Siyuan Qiao2, Jie Zhao1, Dongqing Liu1, Xiaobing Shi1, Minzhao Lyu3,4, Haotian Chen1, Huimin Lu5, Yunkai Zhai1,6.   

Abstract

The key features of 5G network (i.e., high bandwidth, low latency, and high concurrency) along with the capability of supporting big data platforms with high mobility make it valuable in coping with emerging medical needs, such as COVID-19 and future healthcare challenges. However, enforcing the security aspect of a 5G-based smart healthcare system that hosts critical data and services is becoming more urgent and critical. Passive security mechanisms (e.g., data encryption and isolation) used in legacy medical platforms cannot provide sufficient protection for a healthcare system that is deployed in a distributed manner and fail to meet the need for data/service sharing across "cloud-edge-terminal" in the 5G era. In this article, we propose a security awareness and protection system that leverages zero-trust architecture for a 5G-based smart medical platform. Driven by the four key dimensions of 5G smart healthcare including "subject" (i.e., users, terminals, and applications), "object" (i.e., data, platforms, and services), "behavior," and "environment," our system constructs trustable dynamic access control models and achieves real-time network security situational awareness, continuous identity authentication, analysis of access behavior, and fine-grained access control. The proposed security system is implemented and tested thoroughly at industrial-grade, which proves that it satisfies the needs of active defense and end-to-end security enforcement of data, users, and services involved in a 5G-based smart medical system.

Entities:  

Keywords:  5G; security and privacy; smart healthcare; zero-trust architecture (ZTA)

Year:  2020        PMID: 35783535      PMCID: PMC8768994          DOI: 10.1109/JIOT.2020.3041042

Source DB:  PubMed          Journal:  IEEE Internet Things J        ISSN: 2327-4662            Impact factor:   10.238


  1 in total

1.  SecourHealth: a delay-tolerant security framework for mobile health data collection.

Authors:  Marcos A Simplicio; Leonardo H Iwaya; Bruno M Barros; Tereza C M B Carvalho; Mats Näslund
Journal:  IEEE J Biomed Health Inform       Date:  2014-04-24       Impact factor: 5.772

  1 in total

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