Malware Analysis using Artificial Intelligence and Deep Learning

About the Book
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About the Author
About
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.
Editors
Mark Stamp, Mamoun Alazab and Andrii Shalaginov
1st ed. 2021
Springer
883 pages
Language: English
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