基于特征融合的SQL注入多分类检测

SQL注入攻击是一种常见的网络安全威胁，因此检测SQL注入成为网络安全领域的一项重要研究内容。传统SQL注入检测方法存在准确性低、无法确定SQL注入攻击的具体类型等问题，文章提出一种基于特征融合的SQL注入攻击多分类检测方法（featurefusion-basedmulti-classSQLinjectiondetection，FMC-SID)。实验结果表明，该方法不仅达到了$99.99\%$ 的准确率，而且能够确定SQL注入攻击的具体类型，为安全人员提供更加具体的SQL注入攻击的描述信息和意图，以制定更有针对性的应对措施，提高网络安全的防护能力。

Structured query language (SQL) injection attack is a common network security threat, so detecting SQL injection has become an important research topic in the field of network security. Traditional SQL injection detection methods have problems such as low accuracy and inability to determine the specific type of SQL injection attack. Therefore, this paper proposes a feature fusion-based multi-class SQL injection detection (FMC-SID) method. The experimental results show that this method not only achieves an accuracy of$99.99\%$ , but also identifies the specific type of SQL injection attack, which can provide security personnel with more specific description and intention of SQL injection attack, enabling them to develop more targeted countermeasures and improve network security protection capabilities.