Using machine learning for detecting and preventing SQL injection attacks

کد مقاله : 1048-CYSP2024 (R1)

نویسندگان

Ahamd Farid Aseel * ندارم

چکیده مقاله

Abstract This paper investigates SQL Injection attacks and the use of machine learning algorithms as a novel approach to prevent such attacks in databases. It begins by explaining various types of SQL Injection attacks and then introduces the concepts and algorithms of machine learning. The goal of this research is to provide effective solutions for detecting and preventing these attacks. Through examples and practical results, this paper addresses the enhancement of database security through machine learning algorithms. The results show that employing these algorithms can significantly improve database security and contribute to increasing awareness about innovative methods for combating SQL Injection attacks.

کلیدواژه ها

SQL Injection; Machine learning; Cybersecurity; Cyber-attack; Artificial intelligence

وضعیت: پذیرفته شده برای ارائه شفاهی