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

• 作者: Yong Wang Jinsong Xi Tong Cheng
• 来源期刊: 信息安全(英文)
• 学科: 工学
• 关键词: Database Security Threat Agent Traditional Approaches Machine Learning
• 年，卷（期）: 2021,（1）
• 页码范围: 34-55
• 页数: 22页
• 分类号: TP3

摘要

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 </span><span style="font-size:12px;font-family:Verdana;">are</span><span style="font-size:12px;font-family:Verdana;"> 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.