Detection and prevention of SQLI attacks and developing compressive framework using machine learning and hybrid techniques

Detection and prevention of SQLI attacks and developing compressive framework using machine learning and hybrid techniques

Abstract A web application is a software system that provides an interface to its users through a web browser on any operating system (OS). Despite their growing popularity, web application security threats have become more diverse, resulting in more severe damage. Malware attacks, particularly SQLI...

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Bibliographic Details
Main Authors: Wubetu Barud Demilie, Fitsum Gizachew Deriba
Format: Article
Language:English
Published: SpringerOpen 2022-12-01
Series:Journal of Big Data
Subjects:
Deep learning
Detection
Hybrid
Machine learning
Prevention
SQLI attack
Online Access:https://doi.org/10.1186/s40537-022-00678-0

Internet

https://doi.org/10.1186/s40537-022-00678-0

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