TITLE:
The Overview of Database Security Threats’ Solutions: Traditional and Machine Learning
AUTHORS:
Yong Wang, Jinsong Xi, Tong Cheng
KEYWORDS:
Database Security, Threat Agent, Traditional Approaches, Machine Learning
JOURNAL NAME:
Journal of Information Security,
Vol.12 No.1,
January
11,
2021
ABSTRACT: 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.