Malware Analysis Using Artificial Intelligence and Deep Learning

This book PDF is perfect for those who love Computers genre, written by Mark Stamp and published by Springer Nature which was released on 20 December 2020 with total hardcover pages 651. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Malware Analysis Using Artificial Intelligence and Deep Learning books below.

Malware Analysis Using Artificial Intelligence and Deep Learning
Malware Analysis Using Artificial Intelligence and Deep Learning
Author : Mark Stamp
File Size : 44,8 Mb
Publisher : Springer Nature
Language : English
Release Date : 20 December 2020
ISBN : 9783030625825
Pages : 651 pages
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Malware Analysis Using Artificial Intelligence and Deep Learning by Mark Stamp Book PDF Summary

​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.

Malware Analysis Using Artificial Intelligence and Deep Learning

Malware Analysis Using Artificial Intelligence and Deep Learning by Mark Stamp,Mamoun Alazab,Andrii Shalaginov

​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

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