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.
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- Malware Analysis Using Artificial Intelligence and Deep Learning 1st ed.

Malware Analysis Using Artificial Intelligence and Deep Learning 1st ed.
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Year published
Author(s)
- Andrii Shalaginov
- Mamoun Alazab
- Mark Stamp
Description
ISBN-10 : 3030625818 ISBN-13 : 978-3030625818 Hardcover : 671 pages Publisher : Springer; 1st ed. 2021 edition (February 7, 2021)
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