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Stream/Area:
-
Subject:
-
Paper ID:
10.55041/IJSREM39512
Volume:
8 |
12 |
Dec 2024
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
SQL injection is a prevalent web application vulner- ability that allows attackers to manipulate database queries, often leading to severe data leaks. This paper surveys existing research on SQL injection attacks and various detection and prevention techniques. We explore classical and modern approaches, includ- ing machine learning paradigms, input verification methods, and parameterized query techniques. By examining the strengths and weaknesses of these approaches, this paper proposes a compre- hensive prevention framework. The challenges, limitations, and future directions for enhancing SQL injection security are also discussed.
KEYWORDS
Publication Date
7/11/2024
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
Funding Information
No funding information available for this research.
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