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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.
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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