海洋环境信息云平台数据安全等级自动划分的研究.docx

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【Abstract】
With the rapid development of marine economy, marine environmental information has become increasingly important. The ocean environment information cloud platform is a powerful tool for marine environmental research, management and service. In order to ensure the safety of marine environmental information, the automatic grading of data security levels for the ocean environment information cloud platform has become necessary. In this paper, we discuss the research on the automatic grading of data security levels for the marine environment information cloud platform.
【Introduction】
The oceans cover 71% of the earth's surface and play an important role in maintaining the stability of the earth's climate and ecological environment. With the rapid development of the marine economy, the marine environment has become increasingly important. Marine environmental information provides important data for marine environmental research, management and service, and has become an important foundation for the sustainable development of the marine economy.
The ocean environment information cloud platform is an important technical tool for marine environmental information management and analysis. The platform can integrate, manage and analyze large-scale, complex and diverse marine environmental data, and provide integrated and comprehensive information support for marine environmental management and decision-making. The ocean environment information cloud platform is an important part of the marine environmental information system, and its security is crucial for the safe use of marine environmental information.
To ensure the security of the ocean environment information cloud platform, it is necessary to grade data security levels automatically. The automatic grading of data security levels can help to effectively prevent the disclosure, leakage or misuse of marine environmental information.
【The Necessity of Automatic Grading of Data Security Levels】
The evaluation of data security levels refers to the process of evaluating the sensitivity and confidentiality of data and assigning corresponding security levels. The automatic grading of data security levels is of great significance for the management of marine environmental data.
First of all, automatic grading of data security levels can significantly improve the efficiency of data management. The total amount of marine environmental data is huge, and the traditional manual grading method is time-consuming and laborious. The automatic grading of data security levels can save a lot of human resources, and improve the efficiency of data management.
Second, automatic grading of data security levels can improve the accuracy of data management. Human factors often lead to errors in manual grading. The automatic grading of data security levels can effectively eliminate such errors and improve the accuracy of data grading.
Third, automatic grading of data security levels is crucial for the safe operation of marine environmental information. Once the data is improperly graded, it may lead to the disclosure, leakage or misuse of marine environmental information, which may cause serious consequences, such as environmental pollution, economic losses and social unrest.
【The Research on Automatic Grading of Data Security Levels】
The automatic grading of data security levels for the ocean environment information cloud platform is a complex and multidisciplinary issue, which involves information security, data mining, big data analysis, machine learning, and other fields. The research on automatic grading of data security levels can be divided into the following three aspects:
First, the selection and construction of evaluation indicators. The evaluation indicators should be selected scientifically to reflect the sensitivity and confidentiality of marine environmental data, and the evaluation indicators should be constructed in a hierarchical way to form a complete evaluation system.
Second, the establishment of evaluation models. The automatic grading of data security levels is essentially a classification problem. Various classification algorithms can be used to establish the evaluation models, such as decision trees, logistic regression, support vector machines, and deep learning.
Third, the optimization of algorithms and models. The performance of evaluation models can be improved by optimizing algorithms and models, such as feature selection, parameter optimization, and ensemble learning.
【Conclusion】
With the rapid development of marine economy and the increasing importance of marine environmental information, the automatic grading of data security levels for the ocean environment information cloud platform has become necessary. The automatic grading of data security levels can significantly improve the efficiency and accuracy of data management, and crucial for the safe operation of marine environmental information. The research on automatic grading of data security levels is a complex and multidisciplinary issue, which requires the joint efforts of experts in various fields.