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Malware Analysis Using Artificial Intelligence and Deep Learning
Mark Stamp, Mamoun Alazab, Andrii Shalaginov你有多喜欢这本书?
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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.
年:
2021
出版社:
Springer
语言:
english
页:
651
ISBN 10:
3030625818
ISBN 13:
9783030625818
文件:
EPUB, 85.69 MB
您的标签:
IPFS:
CID , CID Blake2b
english, 2021
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