Securing the Web: Machine Learning for CSRF Vulnerability Detection

Language: English

Published by LAP LAMBERT Academic Publishing Jul 2023, 2023

620668671X / 9786206686712

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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.

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Softcover

Condition: New

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Item description from seller

This item is printed on demand - it takes 3-4 days longer - Neuware -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. 64 pp. Englisch.

Seller Inventory # 9786206686712

Title
Securing the Web: Machine Learning for CSRF Vulnerability Detection
Author
Pallavi Reddy
Publisher
LAP LAMBERT Academic Publishing Jul 2023
Publication year
2023
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
620668671X
ISBN 13
9786206686712
Item weight
113 grams
Dimensions
220x150x4 mm

BuchWeltWeit Ludwig Meier e.K.

Bergisch Gladbach, Germany

5-star seller

AbeBooks seller since January 11, 2012

Shipping rates from Germany to U.S.A.

Item5 to 15 business days5 to 15 business days
First itemUS$ 26.17US$ 26.17
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BuchWeltWeit Ludwig Meier e.K.

Germany