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Publisher: Springer International Publishing AG, April of 2024 ‧
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Since the use of ML entails understanding which techniques can be best used for specific tasks to ensure comprehensive security, the book provides an overview of the current state of the art of ML techniques for security and a detailed taxonomy of security tasks and corresponding ML techniques that can be used for each task.

Machine Learning Techniques For Cybersecurity

by Elisa Bertino, Sonam Bhardwaj, Fabrizio Cicala, Sishuai Gong, Ashraf Y. Mahgoub, Charalampos Katsis, Hyunwoo Lee, Adrian Shuai Li e Imtiaz Karim

Property Description
ISBN: 9783031282614
Publisher: Springer International Publishing AG
Release Date: April of 2024
Language: English
Dimensions: 168 x 240 x 20 mm
Cover: Softcover
Pages: 165
Format: Book
Collection: Synthesis Lectures On Information Security, Privacy, And Trust
Categories: Books in English > Computing > Information Security
Books in English > Others
EAN: 9783031282614

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