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

Reddy, Pallavi

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

Synopsis

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.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2023
Langue
anglais
ISBN 10 
620668671X
ISBN 13 
9786206686712
Reliure
Broché
Nombre de pages
64
Coordonnées du fabricant
non disponible
Personne responsable
KreGa Onlinehandel GmbH
4950000000000
info@krega-onlinehandel.de

Birkenweg 31
Brakel
33034
Allemagne