摘要
为保障Web应用程序安全,研究SQL注入攻击具有重大意义。本文分析了SQL注入攻击原理及攻击类别,并基于SQLMap自动化注入工具模拟注入流程,基于卷积神经网络设计了SQL注入检测算法。实验结果表明,该方法能够有效阻断SQL注入,切实保障用户隐私安全。
In the purpose of enhancing the security of web applications,it is crucial to clduct a thorough study on SQL injection attacks.This paper analyzes the principles and various types of SQL injection attacks and simulates the injection process using the automated injection tool called SQLMap.Furthermore,the paper proposes a Convolutional Neural Networks based algorithm for detecting SQL injection.The experimental results demonstrate that this method effectively prevents SQL injection attacks and ensures the protection of user privacy.
作者
廖诚富
孙誉欣
郑家瑜
LIAO Chengfu;SUN Yuxin;ZHENG Jiayu(School of Computer Science,Hunan University of Technology and Business,Changsha,China,410205)
出处
《福建电脑》
2023年第7期66-69,共4页
Journal of Fujian Computer
基金
国家级大学生创新创业训练计划项目(No.202110554021X)资助。
关键词
SQL注入
卷积神经网络
网络安全
SQL Injection
Convolutional Neural Network
Network Security
