Title: Research on the importance of database system security performance testing technology to computer software development

Authors: Li Gao; Junlin Qiu; Huaqi Lu; Xiaoling Jiang; Shaohang Yi

Addresses: Faculty of Computer and Software Engineering, HuaiYin Institute of Technology, Huai'an, 223003, China ' Faculty of Computer and Software Engineering, HuaiYin Institute of Technology, Huai'an, 223003, China ' Faculty of Computer and Software Engineering, HuaiYin Institute of Technology, Huai'an, 223003, China ' Faculty of Computer and Software Engineering, HuaiYin Institute of Technology, Huai'an, 223003, China ' Faculty of Computer and Software Engineering, HuaiYin Institute of Technology, Huai'an, 223003, China

Abstract: In order to make up for the lack of database security in traditional business systems and help managers realise real-time monitoring and auditing of database operations, the research is based on cloud-encrypted databases and combined with auditing technology to ensure database security and integrity during software development sex. In the study, two normal users and two abnormal users are used to operate the database to judge the effectiveness of the security audit scheme. The results show that the judgment value can distinguish normal users from abnormal users, and false detection rate can be kept below 0.03. As length of sliding window increases, detection rate of system shows an increasing trend, and the false detection rate shows a decreasing trend, but the change gradually slows down, and the impact on it decreases significantly after reaching 0.015. It should be noted that with the increase of the sliding window, the time complexity of the system is also increasing, which will have a certain impact on real-time performance of audit. The research results ensure that database managers can discover the existing problems in the first time, and formulate targeted solutions to improve the efficiency of software development.

Keywords: big data; cloud computing; hidden Markov model; HMM; encrypted database; security audit.

DOI: 10.1504/IJCSYSE.2026.151332

International Journal of Computational Systems Engineering, 2026 Vol.10 No.1/2/3/4, pp.36 - 46

Received: 02 Aug 2023
Accepted: 05 Sep 2023
Published online: 26 Jan 2026 *

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