School of Management Science and Engineering, Guangxi University of Finance and Economics, Nanning, China.
Front Public Health. 2022 Jun 23;10:921632. doi: 10.3389/fpubh.2022.921632. eCollection 2022.
With the rapid development of society and economy, enterprises have also started digital transformation in order to follow the pace. Now-a-days, the development of enterprises is also faced with the risk of improper management of enterprise information security, so it is very necessary to study the networked organizational structure of enterprise information security management. The purpose of this paper is to study how to analyze the network organization structure of enterprise information security management based on genetic algorithm. This paper puts forward the difficult problems faced by enterprise information security, and how to prevent and solve the risks encountered in information security. In the experimental part of this paper, it can be seen that with the increase of the number of experiments, the work efficiency of the traditional network organization structure has increased from about 4.6 to about 17%. The work efficiency of the network organization structure based on genetic algorithm has risen from about 10 to about 50%. It shows that the work efficiency of the network organization structure based on genetic algorithm is much higher than that of the traditional network organization structure. It can be seen that the advantage percentage of enterprise information security management networked organizational structure with strong room for growth is 79-84%, and the percentage of cost savings is 75-82%. It can be seen that there are still many advantages of the networked organizational structure of enterprise information security management. The network organization structure based on genetic algorithm can not only improve the work efficiency of enterprises, but also improve the information security. Therefore, the network organization structure based on genetic algorithm is of great significance to the enterprise information security.
随着社会经济的快速发展，企业也开始进行数字化转型以跟上时代的步伐。如今，企业的发展也面临着企业信息安全管理不善的风险，因此研究企业信息安全管理的网络组织结构是非常必要的。本文旨在研究如何基于遗传算法分析企业信息安全管理的网络组织结构。本文提出了企业信息安全面临的难题，以及如何防范和解决信息安全中遇到的风险。在本文的实验部分可以看出，随着实验次数的增加，传统网络组织结构的工作效率从大约 4.6 提高到了大约 17%。基于遗传算法的网络组织结构的工作效率从大约 10 提高到了大约 50%。这表明基于遗传算法的网络组织结构的工作效率远高于传统网络组织结构。可以看出，企业信息安全管理网络组织结构具有很强的增长空间，其优势百分比为 79-84%，节省成本的百分比为 75-82%。由此可见，企业信息安全管理的网络组织结构仍然具有许多优势。基于遗传算法的网络组织结构不仅可以提高企业的工作效率，还可以提高信息安全性。因此，基于遗传算法的网络组织结构对企业信息安全具有重要意义。
