Malware Analysis Using Artificial Intelligence and Deep Learning


Malware Analysis Using Artificial Intelligence and Deep Learning
by:Mark Stamp,Mamoun Alazab,Andrii Shalaginov
Publisher Finelybook 出版社:Springer; 1st ed. 2021 edition (December 21, 2020)
Language 语言:English
pages 页数:671 pages
ISBN-10 书号:3030625818
ISBN-13 书号:9783030625818

Book Description
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.

下载地址:应版权方要求,该资源内容链接已移除!

你可以 登录 后获取帮助.

赞(1) 觉得文章有用就打赏一下
未经允许不得转载:finelybook » Malware Analysis Using Artificial Intelligence and Deep Learning

觉得文章有用就打赏一下

支付宝扫一扫打赏

微信扫一扫打赏