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Digital Forensics and Cyber Crime

Overview of attention for book
Cover of 'Digital Forensics and Cyber Crime'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Digital Evidence Composition in Fraud Detection
  3. Altmetric Badge
    Chapter 2 iForensics: Forensic Analysis of Instant Messaging on Smart Phones
  4. Altmetric Badge
    Chapter 3 A Survey of Forensic Localization and Tracking Mechanisms in Short-Range and Cellular Networks
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    Chapter 4 SMIRK: SMS Management and Information Retrieval Kit
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    Chapter 5 Localization and Detection of Vector Logo Image Plagiarism
  7. Altmetric Badge
    Chapter 6 Analysis of Free Download Manager for Forensic Artefacts
  8. Altmetric Badge
    Chapter 7 On the Reliability of Cell Phone Camera Fingerprint Recognition
  9. Altmetric Badge
    Chapter 8 Towards a New Data Mining-Based Approach for Anti-Money Laundering in an International Investment Bank
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    Chapter 9 Analysis of Evidence Using Formal Event Reconstruction
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    Chapter 10 Data Mining Instant Messaging Communications to Perform Author Identification for Cybercrime Investigations
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    Chapter 11 Digital Evidence Retrieval and Forensic Analysis on Gambling Machine
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    Chapter 12 Digital Forensics and Cyber Crime
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    Chapter 13 Criminal Defense Challenges in Computer Forensics
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    Chapter 14 Detecting and Preventing the Electronic Transmission of Illicit Images and Its Network Performance
  16. Altmetric Badge
    Chapter 15 A Discretionary Access Control Method for Preventing Data Exfiltration (DE) via Removable Devices
  17. Altmetric Badge
    Chapter 16 A Host-Based Approach to BotNet Investigation?
Attention for Chapter 9: Analysis of Evidence Using Formal Event Reconstruction
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (57th percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

twitter
4 tweeters

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
26 Mendeley
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Chapter title
Analysis of Evidence Using Formal Event Reconstruction
Chapter number 9
Book title
Digital Forensics and Cyber Crime
Published in
arXiv, February 2013
DOI 10.1007/978-3-642-11534-9_9
Book ISBNs
978-3-64-211533-2, 978-3-64-211534-9
Authors

Joshua I. James, Pavel Gladyshev, Mohd Taufik Abdullah, Yuandong Zhu, Joshua James

Twitter Demographics

The data shown below were collected from the profiles of 4 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Malaysia 2 8%
Netherlands 1 4%
Unknown 23 88%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 31%
Student > Master 7 27%
Researcher 2 8%
Student > Postgraduate 2 8%
Professor 1 4%
Other 6 23%
Readers by discipline Count As %
Computer Science 24 92%
Social Sciences 1 4%
Unknown 1 4%

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 24 November 2018.
All research outputs
#7,442,417
of 13,910,193 outputs
Outputs from arXiv
#119,747
of 527,268 outputs
Outputs of similar age
#101,965
of 244,290 outputs
Outputs of similar age from arXiv
#918
of 6,226 outputs
Altmetric has tracked 13,910,193 research outputs across all sources so far. This one is in the 46th percentile – i.e., 46% of other outputs scored the same or lower than it.
So far Altmetric has tracked 527,268 research outputs from this source. They receive a mean Attention Score of 3.7. This one has done well, scoring higher than 76% 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 244,290 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 57% of its contemporaries.
We're also able to compare this research output to 6,226 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.