Securing the Web: Machine Learning for CSRF Vulnerability Detection

ISBN-13: 9786206686712 / Angielski / Miękka / 64 str.

Pallavi Reddy

Opis

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.

O autorze

R.Pallavi Reddy is working as Assistant Professor in the Department of Computer Science and Engineering in G. Narayanamma Institute of Technology and Science (For Women), Hyderabad. She has 20 years of rich teaching experience. She has good research experience in Machine Learning and Artificial Intelligence.