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Detection of intrusions and malware, and vulnerability assessment

Overview of attention for book
Cover of 'Detection of intrusions and malware, and vulnerability assessment'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Detection of Intrusions and Malware, and Vulnerability Assessment
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    Chapter 2 “Nice Boots!” - A Large-Scale Analysis of Bootkits and New Ways to Stop Them
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    Chapter 3 C5: Cross-Cores Cache Covert Channel
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    Chapter 4 Intrusion Detection for Airborne Communication Using PHY-Layer Information
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    Chapter 5 That Ain’t You: Blocking Spearphishing Through Behavioral Modelling
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    Chapter 6 Robust and Effective Malware Detection Through Quantitative Data Flow Graph Metrics
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    Chapter 7 Jackdaw: Towards Automatic Reverse Engineering of Large Datasets of Binaries
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    Chapter 8 Fine-Grained Control-Flow Integrity Through Binary Hardening
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    Chapter 9 Powerslave: Analyzing the Energy Consumption of Mobile Antivirus Software
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    Chapter 10 The Role of Cloud Services in Malicious Software: Trends and Insights
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    Chapter 11 Capturing DDoS Attack Dynamics Behind the Scenes
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    Chapter 12 Quit playing games with my heart: Understanding online dating scams
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    Chapter 13 More Guidelines Than Rules: CSRF Vulnerabilities from Noncompliant OAuth 2.0 Implementations
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    Chapter 14 May I? - Content Security Policy Endorsement for Browser Extensions
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    Chapter 15 On the Security and Engineering Implications of Finer-Grained Access Controls for Android Developers and Users
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    Chapter 16 Identifying Intrusion Infections via Probabilistic Inference on Bayesian Network
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    Chapter 17 Controlled Data Sharing for Collaborative Predictive Blacklisting
Overall attention for this book and its chapters
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (91st percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

Mentioned by

news
2 news outlets
twitter
2 X users

Citations

dimensions_citation
12 Dimensions

Readers on

mendeley
51 Mendeley
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Title
Detection of intrusions and malware, and vulnerability assessment
Published by
Lecture notes in computer science, January 2016
DOI 10.1007/978-3-319-20550-2
ISBNs
978-3-31-920549-6, 978-3-31-920550-2
Authors

Almgren, Magnus, Gulisano, Vincenzo, Maggi, F.

Editors

Almgren, Magnus, Gulisano, Vincenzo, Maggi, Federico

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Czechia 1 2%
Unknown 50 98%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 1 2%
Student > Bachelor 1 2%
Student > Ph. D. Student 1 2%
Student > Master 1 2%
Student > Postgraduate 1 2%
Other 0 0%
Unknown 46 90%
Readers by discipline Count As %
Computer Science 5 10%
Unknown 46 90%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 17. 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 27 May 2016.
All research outputs
#1,844,503
of 22,837,982 outputs
Outputs from Lecture notes in computer science
#324
of 8,127 outputs
Outputs of similar age
#34,216
of 393,791 outputs
Outputs of similar age from Lecture notes in computer science
#71
of 546 outputs
Altmetric has tracked 22,837,982 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,127 research outputs from this source. They receive a mean Attention Score of 5.0. This one has done particularly well, scoring higher than 96% 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 393,791 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 546 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.