Open Access

ARTICLE

Design of an Information Security Service for Medical Artificial Intelligence

Yanghoon Kim¹, Jawon Kim², Hangbae Chang^3,*

1 Department of Cyber Drone Bot Military Engineering, Shinhan University, Uijeongbu-si, 11644, Gyeonggi-do, Korea
2 Department of Security Convergence, Graduate School, Chung-Ang University, Dongjack-gu, 06974, Seoul, Korea
3 Department of Industrial Security, Chung-Ang University, Dongjak-gu, 06974, Seoul, Korea

* Corresponding Author: Hangbae Chang. Email:

(This article belongs to this Special Issue: Artificial Intelligence and IoT based intelligent systems using high performance computing for Medical applications.)

Computers, Materials & Continua 2022, 70(1), 679-694. https://doi.org/10.32604/cmc.2022.015610

Received 30 November 2020; Accepted 23 May 2021; Issue published 07 September 2021

Abstract

The medical convergence industry has gradually adopted ICT devices, which has led to legacy security problems related to ICT devices. However, it has been difficult to solve these problems due to data resource issues. Such problems can cause a lack of reliability in medical artificial intelligence services that utilize medical information. Therefore, to provide reliable services focused on security internalization, it is necessary to establish a medical convergence environment-oriented security management system. This study proposes the use of system identification and countermeasures to secure system reliability when using medical convergence environment information in medical artificial intelligence. We checked the life cycle of medical information and the flow and location of information, analyzed the security threats that may arise during the life cycle, and proposed technical countermeasures to overcome such threats. We verified the proposed countermeasures through a survey of experts. Security requirements were defined based on the information life cycle in the medical convergence environment. We also designed technical countermeasures for use in the security management systems of hospitals of diverse sizes.

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Keywords

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