ISSN: 2265-6294

MACHINE LEARNING-BASED DETECTION OF CROSS-SITE REQUEST FORGERY ATTACKS

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RAJKUMAR CHALLA, SALLAM RAMYA,GOPARAJU YASHVANTU

Abstract

In this project, we offer an approach that uses machine learning (ML) to identify vulnerabilities in online applications. Because web apps are so diverse and sometimes use bespoke programming techniques, they can be especially difficult to analyze

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