The application of privacy protection and artificial intelligence technology in the information auxiliary system of the prevention and control of COVID-19
10.3760/cma.j.cn113565-20200216-00014
- VernacularTitle: 浅析隐私保护与人工智能等技术在新型冠状病毒疫情防控信息辅助系统中的应用
- Author:
Zhiwei WANG
1
;
Yuhui ZHANG
1
;
Jiangfeng CAO
1
;
Rui HOU
1
;
Jiabin LU
2
Author Information
1. State Key Laboratory of Information Security, Institute of Information Engineering,CAS and University of Chinese Academy of Sciences,Beijing 100093,China
2. Institute of Medical Technology,Peking University Health Science Center, Beijing 100871,China; Beijing Key Lab of Magnetic Resonance Imaging Device and Technique, Beijing 100871,China; The Third Hospital of Peking University, Beijing 100871,China
- Publication Type:Journal Article
- Keywords:
Epidemic prevention and control;
Privacy protection;
Block chain;
Artificial intelligence;
Decision Support
- From:
Chinese Journal of Medical Science Research Management
2020;33(0):E011-E011
- CountryChina
- Language:Chinese
-
Abstract:
Objective:The outbreak of novel coronavirus raised many problems in the auxiliary information system of epidemic prevention and control, which including the need to prevent key data from being illegal modification, traceability, lack of decision support systems at different levels, barriers to cross regional cooperation and low automation of case diagnosis.
Methods:In this paper, artificial intelligence, security computing supporting privacy protection, block chain and other emerging technologies are introduced into the epidemic prevention and control auxiliary information system.
Results:This paper discusses how to utilize modern cryptography and block chain technology to establish a traceability system that could assure the security of epidemic information; design a distributed decision support system; solve the privacy-preserving problems of Federated Learning based on SGX technology, and present a group architecture to alleviate the performance cost of SGX.
Conclusions:The schemes above can help to achieve the security and traceability of epidemic information, also improve the automation and decision-making efficiency of the auxiliary information system for epidemic prevention and control.
