Preventing SQL Injection Using Machine Learning by Ensemble Techniques

dc.contributor.advisorDr. Bahiru Shifaw
dc.contributor.authorMengistu, Bonsa
dc.date.accessioned2025-12-17T10:54:35Z
dc.date.issued2022-08
dc.description.abstractThe world recently is one by the globalization. Using Internet multiple platforms and web-applications has become a quite common phenomenon in the recent times. The web-based applications that accept critical information from users store information in databases. The applications and the databases connected to Internet are susceptible to all kinds of information security threats. There are many types of threats attacks. SQL Injection attacks is the top ten vulnerabilities based on web applications. By using injection, attackers can quickly destroy the target websites and control the whole web application system, to make any modifications, steal and damage up to identity theft that affects the business or organization.How we prevent it, in this paper by ensemble techniques the SQL injection attack is prevented using Machine learning.en_US
dc.description.sponsorshipASTUen_US
dc.identifier.urihttp://10.240.1.28:4000/handle/123456789/1646
dc.language.isoen_USen_US
dc.publisherASTUen_US
dc.subjectSQL, Union query, SQLI,Machine learning, SQLICA,en_US
dc.titlePreventing SQL Injection Using Machine Learning by Ensemble Techniquesen_US
dc.typeThesisen_US

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