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Machine Learning Techniques for Cybersecurity (Synthesis Lectures on Information Security, Privacy, and Trust)

By: Adrian Shuai Li (Author) , Ashraf Y. Mahgoub (Author) , Charalampos Katsis (Author) , Elisa Bertino (Author) , Fabrizio Cicala (Author) , Hyunwoo Lee (Author) , Imtiaz Karim (Author) , Sishuai Gong (Author) , Sonam Bhardwaj (Author)

Extended Catalogue

Ksh 9,100.00

Format: Hardback or Cased Book

ISBN-10: 3031282582

ISBN-13: 9783031282584

Collection / Series: Synthesis Lectures on Information Security, Privacy, and Trust

Collection Type: Publisher collection

Edition statement: 2023 ed.

Publisher: Springer International Publishing AG

Imprint: Springer International Publishing AG

Country of Manufacture: GB

Country of Publication: GB

Publication Date: Apr 9th, 2023

Publication Status: Active

Product extent: 165 Pages

Product Classification / Subject(s): Computer security
Network security
Machine learning

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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.

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