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Cyber Threat Intelligence

Overview of attention for book
Cover of 'Cyber Threat Intelligence'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Cyber Threat Intelligence: Challenges and Opportunities
  3. Altmetric Badge
    Chapter 2 Machine Learning Aided Static Malware Analysis: A Survey and Tutorial
  4. Altmetric Badge
    Chapter 3 Application of Machine Learning Techniques to Detecting Anomalies in Communication Networks: Datasets and Feature Selection Algorithms
  5. Altmetric Badge
    Chapter 4 Application of Machine Learning Techniques to Detecting Anomalies in Communication Networks: Classification Algorithms
  6. Altmetric Badge
    Chapter 5 Leveraging Machine Learning Techniques for Windows Ransomware Network Traffic Detection
  7. Altmetric Badge
    Chapter 6 Leveraging Support Vector Machine for Opcode Density Based Detection of Crypto-Ransomware
  8. Altmetric Badge
    Chapter 7 BoTShark: A Deep Learning Approach for Botnet Traffic Detection
  9. Altmetric Badge
    Chapter 8 A Practical Analysis of the Rise in Mobile Phishing
  10. Altmetric Badge
    Chapter 9 PDF-Malware Detection: A Survey and Taxonomy of Current Techniques
  11. Altmetric Badge
    Chapter 10 Adaptive Traffic Fingerprinting for Darknet Threat Intelligence
  12. Altmetric Badge
    Chapter 11 A Model for Android and iOS Applications Risk Calculation: CVSS Analysis and Enhancement Using Case-Control Studies
  13. Altmetric Badge
    Chapter 12 A Honeypot Proxy Framework for Deceiving Attackers with Fabricated Content
  14. Altmetric Badge
    Chapter 13 Investigating the Possibility of Data Leakage in Time of Live VM Migration
  15. Altmetric Badge
    Chapter 14 Forensics Investigation of OpenFlow-Based SDN Platforms
  16. Altmetric Badge
    Chapter 15 Mobile Forensics: A Bibliometric Analysis
  17. Altmetric Badge
    Chapter 16 Emerging from the Cloud: A Bibliometric Analysis of Cloud Forensics Studies
Attention for Chapter 2: Machine Learning Aided Static Malware Analysis: A Survey and Tutorial
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (75th percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

Mentioned by

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10 X users

Citations

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22 Dimensions

Readers on

mendeley
158 Mendeley
Summary X Dimensions citations
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Chapter title
Machine Learning Aided Static Malware Analysis: A Survey and Tutorial
Chapter number 2
Book title
Cyber Threat Intelligence
Published in
arXiv, January 2018
DOI 10.1007/978-3-319-73951-9_2
Book ISBNs
978-3-31-973950-2, 978-3-31-973951-9
Authors

Andrii Shalaginov, Sergii Banin, Ali Dehghantanha, Katrin Franke, Shalaginov, Andrii, Banin, Sergii, Dehghantanha, Ali, Franke, Katrin

View on publisher site
X Demographics

X Demographics

The data shown below were collected from the profiles of 10 X users who shared this research output. Click here to find out more about how the information was compiled.
 Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 158 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 158 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 28 18%
Student > Master 27 17%
Student > Bachelor 12 8%
Lecturer 10 6%
Student > Doctoral Student 6 4%
Other 18 11%
Unknown 57 36%
Readers by discipline Count As %
Computer Science 78 49%
Engineering 9 6%
Unspecified 3 2%
Agricultural and Biological Sciences 1 <1%
Psychology 1 <1%
Other 3 2%
Unknown 63 40%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 01 January 2023.
All research outputs
#6,172,512
of 25,310,061 outputs
Outputs from arXiv
#112,063
of 1,032,658 outputs
Outputs of similar age
#112,497
of 456,169 outputs
Outputs of similar age from arXiv
#2,544
of 19,128 outputs
Altmetric has tracked 25,310,061 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,032,658 research outputs from this source. They receive a mean Attention Score of 4.1. This one has done well, scoring higher than 89% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 456,169 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 75% of its contemporaries.
We're also able to compare this research output to 19,128 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.

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