↓ Skip to main content
What is this page? Embed badge

Malware Analysis Using Artificial Intelligence and Deep Learning

Overview of attention for book
Malware Analysis Using Artificial Intelligence and Deep Learning
Springer International Publishing

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 A Selective Survey of Deep Learning Techniques and Their Application to Malware Analysis
  3. Altmetric Badge
    Chapter 10 Deep Learning Techniques for Behavioral Malware Analysis in Cloud IaaS
  4. Altmetric Badge
    Chapter 16 An Empirical Analysis of Image-Based Learning Techniques for Malware Classification
  5. Altmetric Badge
    Chapter 21 DURLD: Malicious URL Detection Using Deep Learning-Based Character Level Representations
  6. Altmetric Badge
    Chapter 22 Sentiment Analysis for Troll Detection on Weibo
Overall attention for this book and its chapters
Altmetric Badge

Mentioned by

twitter
2 X users

Readers on

mendeley
97 Mendeley
Summary X
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Malware Analysis Using Artificial Intelligence and Deep Learning
Published by
Springer International Publishing, January 2021
DOI 10.1007/978-3-030-62582-5
ISBNs
978-3-03-062581-8, 978-3-03-062582-5
Editors

Mark Stamp, Mamoun Alazab, Andrii Shalaginov

View on publisher site
Timeline

Login to access the full chart related to this output.

If you don’t have an account, click here to discover Explorer

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 97 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 97 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 10 10%
Student > Ph. D. Student 9 9%
Student > Bachelor 7 7%
Researcher 5 5%
Student > Doctoral Student 4 4%
Other 11 11%
Unknown 51 53%
Readers by discipline Count As %
Computer Science 36 37%
Engineering 4 4%
Materials Science 2 2%
Physics and Astronomy 1 1%
Psychology 1 1%
Other 1 1%
Unknown 52 54%

This page is provided by Altmetric.