Detection of SQL Injection attack Using Machine Learning

Many software systems had a web component, and that web-based component, or web application, was accessible to the general public over the Internet. It is vulnerable to attack by the adversary. It is not uncommon for web and mobile applications to have a lackadaisical flaw that adversely affects the...

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Published in2021 IEEE International Conference on Technology, Research, and Innovation for Betterment of Society (TRIBES) pp. 1 - 6
Main Authors Choudhary, Ravi Raj, Verma, Susheela, Meena, Gaurav
Format Conference Proceeding
LanguageEnglish
Published IEEE 17.12.2021
Subjects
Instruction-Set Randomization
Machine learning
Privacy
security code
Software systems
SQL injection
Structured Query Language
Technological innovation
XSS inspect
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Summary:Many software systems had a web component, and that web-based component, or web application, was accessible to the general public over the Internet. It is vulnerable to attack by the adversary. It is not uncommon for web and mobile applications to have a lackadaisical flaw that adversely affects their security and privacy. Database vulnerability attacks are becoming more common and harmful. It is critical to understand software defects and, more importantly, prevent these security issues. SQL injection and XSS scan the same security code, often employed in online applications developed in a weak and stable typed language. So we looked for a big point where an attacker may use a native notion or existing ways to access or hack data from the database. What kind of issue will arise if an attacker tries to make a database vulnerable by injecting SQL that affects the results.
DOI:10.1109/TRIBES52498.2021.9751616