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Deep Learning Applications for Cyber Security - 2019 ed.

By: (Edited by) Mamoun Alazab , (Edited by) MingJian Tang

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Ksh 23,400.00

Format: Hardback or Cased Book

ISBN-10: 3030130568

ISBN-13: 9783030130565

Edition: 2019 ed.

Series: Advanced Sciences and Technologies for Security Applications

Publisher: Springer Nature Switzerland AG

Imprint: Springer Nature Switzerland AG

Country of Manufacture: GB

Country of Publication: GB

Publication Date: Aug 30th, 2019

Print length: 246 Pages

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Filling an important gap between deep learning and cyber security communities, it discusses topics covering a wide range of modern and practical deep learning techniques, frameworks and development tools to enable readers to engage with the cutting-edge research across various aspects of cyber security.

This book addresses the question of how deep learning methods can be used to advance cyber security objectives. This book fills an important gap between Deep Learning and Cyber Security communities. The topics cover a wide range of modern and practical deep learning techniques, frameworks and development tools enabling the audience to innovate with those cutting-edge research advancement in various cyber security use cases. The book aims at preparing the readers with essential Deep Learning knowledge and tools to solve practical Cyber Security use cases. The scope is limited to mature and proven techniques with ample examples for readers to digest the core knowledge. 



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