Proposed Method for SQL Injection Detection and its Prevention

Author:

Kumar Ashish,Binu Sumitra

Abstract

SQL injection attack is a commonly used method to attack the database server. Injection attacks enable the attacker to bypass the validation and authorization mechanisms used by database server and gain access to the database. The easiest way to launch this attack is by exploiting the loopholes in the validation of user inputs provided through login pages. Each login page that a user visits can contribute towards revealing the identity of the user. Feedbacks given by the server while executing an SQL code can reveal information regarding the vulnerabilities in the validation process of the database server. This information can be misused by the attacker to launch an SQL injection attack. This paper discusses a technique for identifying and preventing SQL injection attack using tokenization concept. The paper discusses a function which verifies the user queries for the presence of various predefined tokens and thereby preventing the access to web pages in cases where the user query includes any of the defined tokens.

Publisher

Science Publishing Corporation

Subject

Hardware and Architecture,General Engineering,General Chemical Engineering,Environmental Engineering,Computer Science (miscellaneous),Biotechnology

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. SQL Injection Detection using Machine Learning and Convolutional Neural Networks;2023 5th International Conference on Smart Systems and Inventive Technology (ICSSIT);2023-01-23

2. Detection and prevention of SQLI attacks and developing compressive framework using machine learning and hybrid techniques;Journal of Big Data;2022-12-30

3. SQL Injection Detection Using Machine Learning with Different TF-IDF Feature Extraction Approaches;International Conference on Information Systems and Intelligent Applications;2022-10-23

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