Research on Preventing Medical Information from Leaking based on Homomorphic Encryption

Authors

  • Kangwei Rao

DOI:

https://doi.org/10.54097/wsk1dv30

Keywords:

Medical Information Security, Privacy Protection, Information Encryption, Symmetric Encryption, Asymmetric Encryption, Electronic Medical Records, Medical Images, Key Management, Access Control

Abstract

The security and privacy protection of medical information is one of the important challenges facing today's society. Disclosure of medical information can lead to invasion of patient privacy, reputational damage to medical institutions, and potential legal liability. Therefore, it is very important to take effective measures to prevent the leakage of medical information. Information encryption is a common technical means, which can effectively protect the security and privacy of medical information. The purpose of this paper is to discuss how to prevent medical information leakage through information encryption. First, we describe the sensitivity and importance of medical information, as well as the current security challenges. Then, we discuss in detail the basic principles of information encryption and common encryption algorithms, including symmetric encryption and asymmetric encryption. Next, we explore the specific application scenarios of medical information encryption, such as electronic medical records, medical images and encryption protection during transmission. We also discuss the advantages and challenges of healthcare information encryption and propose some solutions such as key management and access control. Finally, we summarize the importance of information encryption in preventing medical information leakage and emphasize the need for further research and practice to ensure the security and privacy protection of medical information.

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References

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Published

03-02-2024

Issue

Section

Articles

How to Cite

Rao, K. (2024). Research on Preventing Medical Information from Leaking based on Homomorphic Encryption. Frontiers in Computing and Intelligent Systems, 7(1), 34-38. https://doi.org/10.54097/wsk1dv30