Malware Analysis Using Artificial Intelligence and Deep Learning (epub)

$20.00

Author Mark Stamp, Mamoun Alazab, Andrii Shalaginov
Edition 1
Edition Year 2021
Format epub
ISBN 9783030625818
Language English
Number Of Pages 655
Publisher springer

Description

This book fills a gap between the emerging fields of DL/AI and malware analysis. It covers a broad range of modern and practical DL and AI techniques, including frameworks and development tools enabling the audience to innovate with cutting-edge research advancements in a multitude of malware (and closely related) use cases.​This book is focused on the use of deep learning (DL) and artificial intelligence (AI) as tools to advance the fields of malware detection and analysis. The individual chapters of the book deal with a wide variety of state-of-the-art AI and DL techniques, which are applied to a number of challenging malware-related problems. DL and AI based approaches to malware detection and analysis are largely data driven and hence minimal expert domain knowledge of malware is needed.

Additional information

Author

Mark Stamp, Mamoun Alazab, Andrii Shalaginov

Edition

1

Edition Year

2021

Format

epub

ISBN

9783030625818

Language

English

Number Of Pages

655

Publisher

springer

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