<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>As the pace of hospital informatization construction continues to accelerate, information network technologies are being used more and more extensively in the medical industry. These advanced technologies make medical businesses more and more dependent on industry information and data, which brings about network system security issues that cannot be ignored. To strengthen the daily operation and management of hospitals, ensure the stable operation of computer systems, and do a good job in protecting the security of hospital computer system network information, this paper designs a risk assessment method for hospital computer network information security based on SAE deep neural network and analyzes the main factors affecting the security of hospital computer system network information. The experimental results prove that the proposed method can effectively improve the reliability of the evaluation results and ensure the accuracy of the evaluation results. According to the obtained information security model, it can effectively guide the construction and application of hospital computer network information systems, optimize the system network, and promote the development of hospital informatization.</p>
</abstract>

As the pace of hospital informatization construction continues to accelerate, information network technologies are being used more and more extensively in the medical industry. These advanced technologies make medical businesses more and more dependent on industry information and data, which brings about network system security issues that cannot be ignored. To strengthen the daily operation and management of hospitals, ensure the stable operation of computer systems, and do a good job in protecting the security of hospital computer system network information, this paper designs a risk assessment method for hospital computer network information security based on SAE deep neural network and analyzes the main factors affecting the security of hospital computer system network information. The experimental results prove that the proposed method can effectively improve the reliability of the evaluation results and ensure the accuracy of the evaluation results. According to the obtained information security model, it can effectively guide the construction and application of hospital computer network information systems, optimize the system network, and promote the development of hospital informatization.

Information security of hospital computer network based on SAE deep neural network

Affiliated Hospital of Gansu University of Traditional Chinese Medicine, Information Section

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

As the pace of hospital informatization construction continues to accelerate, information network technologies are being used more and more extensively in the...

Information security of hospital computer network based on SAE deep neural network

Online veröffentlicht: 29. Juni 2023

Seitenbereich: -

Eingereicht: 02. Aug. 2022

Akzeptiert: 04. Jan. 2023

DOI: https://doi.org/10.2478/amns.2023.1.00466

Schlüsselwörter
SAE networks, Deep learning, Hospital networks, Information security, Risk assessment

© 2023 Guizhen Li et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Information security of hospital computer network based on SAE deep neural network

Online veröffentlicht: 29. Juni 2023

Seitenbereich: -

Eingereicht: 02. Aug. 2022

Akzeptiert: 04. Jan. 2023

DOI: https://doi.org/10.2478/amns.2023.1.00466

SchlüsselwörterSAE networks, Deep learning, Hospital networks, Information security, Risk assessment

© 2023 Guizhen Li et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Schlüsselwörter
SAE networks, Deep learning, Hospital networks, Information security, Risk assessment