logo

EbookBell.com

Most ebook files are in PDF format, so you can easily read them using various software such as Foxit Reader or directly on the Google Chrome browser.
Some ebook files are released by publishers in other formats such as .awz, .mobi, .epub, .fb2, etc. You may need to install specific software to read these formats on mobile/PC, such as Calibre.

Please read the tutorial at this link:  https://ebookbell.com/faq 


We offer FREE conversion to the popular formats you request; however, this may take some time. Therefore, right after payment, please email us, and we will try to provide the service as quickly as possible.


For some exceptional file formats or broken links (if any), please refrain from opening any disputes. Instead, email us first, and we will try to assist within a maximum of 6 hours.

EbookBell Team

Malware Analysis Using Artificial Intelligence And Deep Learning 1st Ed 2021 Mark Stamp Editor

  • SKU: BELL-36380462
Malware Analysis Using Artificial Intelligence And Deep Learning 1st Ed 2021 Mark Stamp Editor
$ 31.00 $ 45.00 (-31%)

0.0

0 reviews

Malware Analysis Using Artificial Intelligence And Deep Learning 1st Ed 2021 Mark Stamp Editor instant download after payment.

Publisher: Springer
File Extension: PDF
File size: 22.54 MB
Pages: 671
Author: Mark Stamp (editor), Mamoun Alazab (editor), Andrii Shalaginov (editor)
ISBN: 9783030625818, 3030625818
Language: English
Year: 2020
Edition: 1st ed. 2021

Product desciption

Malware Analysis Using Artificial Intelligence And Deep Learning 1st Ed 2021 Mark Stamp Editor by Mark Stamp (editor), Mamoun Alazab (editor), Andrii Shalaginov (editor) 9783030625818, 3030625818 instant download after payment.

​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.

Related Products