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The Overview of Database Security Threats’ Solutions: Traditional and Machine Learning

机译:数据库安全威胁的解决方案概述:传统和机器学习

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As an information-rich collective, there are always some people who choose to take risks for some ulterior purpose and others are committed to finding ways to deal with database security threats. The purpose of database security research is to prevent the database from being illegally used or destroyed. This paper introduces the main literature in the field of database security research in recent years. First of all, we classify these papers, the classification criteria are the influencing factors of database security. Compared with the traditional and machine learning (ML) methods, some explanations of concepts are interspersed to make these methods easier to understand. Secondly, we find that the related research has achieved some gratifying results, but there are also some shortcomings, such as weak generalization, deviation from reality. Then, possible future work in this research is proposed. Finally, we summarize the main contribution.
机译:作为一种信息丰富的集体,总会有一些人选择对某些难题的风险造成风险,其他人致力于寻找处理数据库安全威胁的方法。数据库安全研究的目的是防止数据库被非法使用或销毁。本文介绍了近年来数据库安全研究领域的主要文献。首先,我们对这些论文进行分类,分类标准是数据库安全的影响因素。与传统和机器学习(ML)的方法相比,界面的一些解释是让这些方法更容易理解的。其次,我们发现相关的研究取得了一些令人满意的结果,但也存在一些缺点,例如弱势较弱,偏离现实。然后,提出了本研究的可能未来的工作。最后,我们总结了主要贡献。

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