基于政務數(shù)據(jù)應用安全的數(shù)據(jù)分類分級方法研究

摘要：該文主要探討了政務數(shù)據(jù)的分級方法的選擇和考慮因素，以及常見的政務數(shù)據(jù)分類分級方法。通過對政務數(shù)據(jù)分類分級實施步驟的詳細闡述，提出了一種基于監(jiān)控和評估的政務數(shù)據(jù)分類分級效果評估方法。該方法能夠及時發(fā)現(xiàn)問題并采取改進措施，提高數(shù)據(jù)分類分級的準確性和可靠性。

關鍵詞：政務數(shù)據(jù)；應用安全；數(shù)據(jù)分類；分級方法

doi：10.3969/J.ISSN.1672-7274.2024.09.022

中圖分類號：TP 309                 文獻標志碼：A            文章編碼：1672-7274（2024）09-00-04

Research on Data Classification and Grading Method Based on Government Data Application Security

ZHOU Jiantao， WEN Jian

（Jiangxi Big Data Center， Nanchang 330001， China）

Abstract： This article mainly discusses the classification principles and objectives of government data， the selection and considerations of grading methods， as well as common methods for classifying and grading government data. By elaborating on the implementation steps of government data classification and grading， a monitoring and evaluation based method for evaluating the effectiveness of government data classification and grading is proposed. This method can promptly identify problems and take improvement measures to enhance the accuracy and reliability of data classification and grading.

Keywords： government data; application security; data classification; grading method

0   引言

隨著數(shù)字化和信息化的深入發(fā)展，政務數(shù)據(jù)作為政府決策、公共服務和社會治理的重要基礎，其應用安全問題日益受到關注。（剩余4404字）