数据库安全威胁解决方案概述:传统和机器学习

Yong Wang, Jinsong Xi, Tong Cheng
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引用次数: 2

摘要

作为一个信息丰富的集体,总有一些人出于不可告人的目的选择冒险,而另一些人则致力于寻找应对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破坏。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了分类,分类标准是影响数据库安全的因素。与传统的和机器学习(ML)方法相比,一些概念的解释穿插在其中,使这些方法更容易理解。其次,我们发现相关研究取得了一些可喜的成果,但也存在一些不足,如泛化能力弱、偏离实际等。然后,提出了本研究今后可能开展的工作。最后,我们总结了主要贡献。
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The Overview of Database Security Threats’ Solutions: Traditional and Machine Learning
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.
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