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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 Dealing with the Problem of Cybercrime
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    Chapter 2 Software Piracy Forensics: The Need for Further Developing AFC
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    Chapter 3 A Simple Cost-Effective Framework for iPhone Forensic Analysis
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    Chapter 4 Detecting Intermediary Hosts by TCP Latency Measurements
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    Chapter 5 Reliable Acquisition of RAM Dumps from Intel-Based Apple Mac Computers over FireWire
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    Chapter 6 Towards More Secure Biometric Readers for Effective Digital Forensic Investigation
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    Chapter 7 Defining a Standard for Reporting Digital Evidence Items in Computer Forensic Tools
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    Chapter 8 Signature Based Detection of User Events for Post-mortem Forensic Analysis
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    Chapter 9 Digital Forensics and Cyber Crime
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    Chapter 10 An Architecture for the Forensic Analysis of Windows System Artifacts
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    Chapter 11 An IP Traceback Model for Network Forensics
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    Chapter 12 Forensic Data Carving
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    Chapter 13 Semantic Modelling of Digital Forensic Evidence
Attention for Chapter 4: Detecting Intermediary Hosts by TCP Latency Measurements
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Citations

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Readers on

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6 Mendeley
Summary Dimensions citations
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Chapter title
Detecting Intermediary Hosts by TCP Latency Measurements
Chapter number 4
Book title
Digital Forensics and Cyber Crime
Published in
ADS, January 2011
DOI 10.1007/978-3-642-19513-6_4
Book ISBNs
978-3-64-219512-9, 978-3-64-219513-6
Authors

Gurvinder Singh, Martin Eian, Svein Y. Willassen, Stig Fr. Mjølsnes

Editors

Ibrahim Baggili

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 50%
Researcher 1 17%
Other 1 17%
Student > Master 1 17%
Readers by discipline Count As %
Computer Science 4 67%
Social Sciences 1 17%
Medicine and Dentistry 1 17%

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