Paper
6 December 2022 Application and design of intrusion tolerance technology in bioinformatics analysis platform
Hao Zhou
Author Affiliations +
Proceedings Volume 12458, International Conference on Biomedical and Intelligent Systems (IC-BIS 2022); 124583D (2022) https://doi.org/10.1117/12.2660546
Event: International Conference on Biomedical and Intelligent Systems, 2022, Chengdu, China
Abstract
With the development of information technology and the deepening of network application, the problem of network security is becoming more and more serious. The form of network security concept is also constantly sublimating and expanding. How to effectively protect important data information and improve computer network security is a problem that must be considered in modern security system and also needs to be determined. Although the security protection measures provided by database management can protect it to a certain extent, there are still loopholes. By analyzing the cause of system component failure and related security technology, a multi-layer database security model based on intrusion tolerance technology is abstracting, which can guarantee the availability, integrity and confidentiality of data under attack. In this paper, based on intrusion tolerance technology in the application of biological information analysis platform was designed, according to current situation of the development of modern computer networks and intrusion tolerance technology put forward its own understanding of existing problems, aims to accelerate intrusion tolerance technology in the application of biological information analysis platform, to further improve the construction of biological information platform.
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Hao Zhou "Application and design of intrusion tolerance technology in bioinformatics analysis platform", Proc. SPIE 12458, International Conference on Biomedical and Intelligent Systems (IC-BIS 2022), 124583D (6 December 2022); https://doi.org/10.1117/12.2660546
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KEYWORDS
Databases

Tolerancing

Computer security

Network security

Computing systems

Mathematical modeling

Biological research

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