Securing the Web: Machine Learning for CSRF Vulnerability Detection: Harnessing Machine Learning Algorithms for Accurate Detection and Prevention - Brossura

Reddy, Pallavi

 
9786206686712: Securing the Web: Machine Learning for CSRF Vulnerability Detection: Harnessing Machine Learning Algorithms for Accurate Detection and Prevention
Brossura
ISBN 10: 620668671X ISBN 13: 9786206686712
Casa editrice: LAP LAMBERT Academic Publishing, 2023

Sinossi

Web Vulnerability Detection of Cross-Site Request Forgery Using Machine Learning Algorithm" is a book that focuses on the detection and prevention of Cross-Site Request Forgery (CSRF) vulnerabilities in web applications. The book presents a precise and practical approach to leveraging machine learning algorithms for identifying and mitigating these web security threats. It offers insights into the risks associated with CSRF attacks, explains the fundamentals of machine learning, and demonstrates how machine learning algorithms can be trained to detect and prevent CSRF vulnerabilities in real-time. This book is a valuable resource for web developers, security professionals, and researchers interested in fortifying web applications against CSRF attacks using advanced machine learning techniques.

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Editore
LAP LAMBERT Academic Publishing
Data di pubblicazione
2023
Lingua
Inglese
ISBN 10 
620668671X
ISBN 13 
9786206686712
Rilegatura
Copertina flessibile
Numero di pagine
64
Contatto del produttore
non disponibile
Persona responsabile
KreGa Onlinehandel GmbH
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info@krega-onlinehandel.de

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