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Malware Analysis Using Artificial Intelligence and Deep Learning

Download or Read eBook Malware Analysis Using Artificial Intelligence and Deep Learning PDF written by Mark Stamp and published by Springer Nature. This book was released on 2020-12-20 with total page 651 pages. Available in PDF, EPUB and Kindle.
Malware Analysis Using Artificial Intelligence and Deep Learning
Author :
Publisher : Springer Nature
Total Pages : 651
Release :
ISBN-10 : 9783030625825
ISBN-13 : 3030625826
Rating : 4/5 (25 Downloads)

Book Synopsis Malware Analysis Using Artificial Intelligence and Deep Learning by : Mark Stamp

Book excerpt: ​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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