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[ "彭绍亮(1979- ),男,湖南大学信息科学与工程学院教授、博士生导师,湖南大学教育舆情研究中心副主任,国家超级计算长沙中心副主任,湖南省“杰出青年”,湖南大学“岳麓学者”,主要研究方向为高性能计算、大数据、生物信息、人工智能、区块链等" ]
[ "白亮(1992- ),男,湖南大学信息科学与工程学院博士生,主要研究方向为生物信息学、边缘计算、区块链技术等" ]
[ "王力(1989- ),男,湖南大学信息科学与工程学院硕士生,主要研究方向为生物信息学、智慧医疗、药靶预测等" ]
[ "程敏霞(1995- ),女,湖南大学信息科学与工程学院硕士生,主要研究方向为生物信息学、机器学习、智慧医疗等" ]
[ "王树林(1966- ),男,博士,湖南大学信息科学与工程学院教授、博士生导师,主要研究方向为生物信息学、软件工程和人工智能" ]
网络出版日期:2020-06,
纸质出版日期:2020-06-20
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彭绍亮, 白亮, 王力, 等. 面向智慧医疗的可信边缘计算[J]. 电信科学, 2020,36(6):56-63.
Shaoliang PENG, Liang BAI, Li WANG, et al. Trusted edge computing for smart healthcare[J]. Telecommunications science, 2020, 36(6): 56-63.
彭绍亮, 白亮, 王力, 等. 面向智慧医疗的可信边缘计算[J]. 电信科学, 2020,36(6):56-63. DOI: 10.11959/j.issn.1000-0801.2020174.
Shaoliang PENG, Liang BAI, Li WANG, et al. Trusted edge computing for smart healthcare[J]. Telecommunications science, 2020, 36(6): 56-63. DOI: 10.11959/j.issn.1000-0801.2020174.
随着物联网技术的飞速发展,为了更好地发展现代医学,避免信息“孤岛化”危机,满足边缘设备所产生的海量数据在时效性与计算性能等方面的要求,将边缘计算与智慧医疗结合是时代的新趋势。但是,边缘计算具有一定的开放性,容易存在安全隐患,所以面向智慧医疗的边缘计算体系的安全与隐私保护问题越来越受到人们的重视。通过介绍面向智慧医疗的边缘计算体系及其架构,阐述了边缘计算中智慧医疗所遭遇的安全隐患,并介绍了部分学者针对安全隐患提出的解决方案,最后总结了安全防护框架及探讨该框架下安全与隐私保护的具体方案,为智慧医疗边缘计算的可信研究提供一定的帮助。
With the rapid development of internet of things technology
in order to better develop modern medicine
avoid the “isolated” crisis of information
and meet the requirements of timeliness and computing performance of massive data generated by edge devices
it is a new trend of the times to combine edge computing with smart healthcare treatment.However
edge computing has a certain degree of openness
and it is prone to potential safety hazards.Therefore
people pay more and more attention to the security and privacy protection of edge computing system for smart healthcare treatment.The edge computing system and its architecture for smart healthcare were introduced
and the security risks encountered by smart healthcare in edge computing was explained
and some scholars’ solutions to the security risks were introduced.Finally
a security framework
and specific solutions for security and privacy protection under the framework were put forward
which providing some help for the trusted research of smart healthcare edge computing.
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