Optimization of online English teaching system based on network security maintenance model optimized by SSH architecture

Online education is rapidly developing and the user base is constantly increasing. Therefore, the workload of security maintenance in the teaching system is gradually increasing. In order to make the security maintenance process of the English teaching system more intelligent and convenient, the research innovatively uses Struts + Spring + Hibernate framework to build a maintenance model that can be operated in real time and handle alarms on the monitoring, alarms, configuration, and other issues involved in the system, and applies it to the optimisation process of the teaching system. In the test results, when the maintenance cases reached 200, the maintenance failures for each functional module in the system were below 60, and the successful maintenance was between 150 and 190. The maintenance success rate of each module for transactions was about 92%. When testing the security monitoring function of the system, with 500 concurrent users, the transactions executed per second and the clicks per second of each monitoring module reached consistency. This proved that no response failure occurred, with a response rate of 100%. Therefore, the proposed new maintenance model improves the security performance of this English teaching system’s service quality. This system makes the security monitoring process simpler and more effective, which is conducive to promoting the further application and development of teaching systems.

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Publication Details

Journal
Journal of Computational Methods in Sciences and Engineering
Published
2025-08-28
DOI
https://doi.org/10.1177/14727978251371818
Primary Topic
AI and Big Data Applications
Type
article
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article

Optimization of online English teaching system based on network security maintenance model optimized by SSH architecture

Luo Juan
Journal of Computational Methods in Sciences and Engineering
AI and Big Data Applications
article

Optimization of online English teaching system based on network security maintenance model optimized by SSH architecture

Luo Juan
article en

Abstract

Online education is rapidly developing and the user base is constantly increasing. Therefore, the workload of security maintenance in the teaching system is gradually increasing. In order to make the security maintenance process of the English teaching system more intelligent and convenient, the research innovatively uses Struts + Spring + Hibernate framework to build a maintenance model that can be operated in real time and handle alarms on the monitoring, alarms, configuration, and other issues involved in the system, and applies it to the optimisation process of the teaching system. In the test results, when the maintenance cases reached 200, the maintenance failures for each functional module in the system were below 60, and the successful maintenance was between 150 and 190. The maintenance success rate of each module for transactions was about 92%. When testing the security monitoring function of the system, with 500 concurrent users, the transactions executed per second and the clicks per second of each monitoring module reached consistency. This proved that no response failure occurred, with a response rate of 100%. Therefore, the proposed new maintenance model improves the security performance of this English teaching system’s service quality. This system makes the security monitoring process simpler and more effective, which is conducive to promoting the further application and development of teaching systems.

Journal of Computational Methods in Sciences and Engineering
Chizhou University (CN)
Openalex Percentile: Top 66%
AI and Big Data Applications
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