Malware Analysis Using Artificial Intelligence and Deep Learning

✍ Scribed by Mark Stamp, Mamoun Alazab, Andrii Shalaginov

Publisher: Springer
Year: 2021
Tongue: English
Leaves: 651
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

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.

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.

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