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Advances in Digital Forensics IX

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Cover of 'Advances in Digital Forensics IX'

Table of Contents

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    Book Overview
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    Chapter 1 History, Historiography and the Hermeneutics of the Hard Drive
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    Chapter 2 Protecting Third Party Privacy in Digital Forensic Investigations
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    Chapter 3 On the Scientific Maturity of Digital Forensics Research
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    Chapter 4 Cognitive Approaches for Digital Forensic Readiness Planning
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    Chapter 5 A Harmonized Process Model for Digital Forensic Investigation Readiness
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    Chapter 6 Evaluation of the Semi-automated Crime-Specific Digital Triage Process Model
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    Chapter 7 Reducing the Time Required for Hashing Operations
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    Chapter 8 Hash-Based File Content Identification Using Distributed Systems
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    Chapter 9 Creating Super Timelines in Windows Investigations
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    Chapter 10 Log File Analysis with Context-Free Grammars
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    Chapter 11 Using a Goal-Driven Approach in the Investigation of a Questioned Contract
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    Chapter 12 File Fragment Analysis Using Normalized Compression Distance
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    Chapter 13 Quantifying Windows File Slack Size and Stability
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    Chapter 14 Automating Video File Carving and Content Identification
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    Chapter 15 Data Recovery from Proprietary Formatted Cctv Hard Disks
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    Chapter 16 Creating Integrated Evidence Graphs for Network Forensics
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    Chapter 17 A Generic Bayesian Belief Model for Similar Cyber Crimes
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    Chapter 18 An Empirical Study Profiling Internet Pirates
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    Chapter 19 Real-Time Covert Timing Channel Detection in Networked Virtual Environments
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    Chapter 20 Impact of Cloud Computing on Digital Forensic Investigations
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    Chapter 21 Rule-Based Integrity Checking of Interrupt Descriptor Tables in Cloud Environments
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    Chapter 22 Comparison of the Data Recovery Function of Forensic Tools
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    Chapter 23 Security Analysis and Decryption of Filevault 2
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    Chapter 24 Detecting Counterfeit Currency and Identifying Its Source
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    Chapter 25 Towards Active Linguistic Authentication
Overall attention for this book and its chapters
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Mentioned by

1 news outlet
2 tweeters


1 Dimensions

Readers on

33 Mendeley
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Advances in Digital Forensics IX
Published by
Springer Berlin Heidelberg, January 2013
DOI 10.1007/978-3-642-41148-9
978-3-64-241147-2, 978-3-64-241148-9

Gilbert Peterson, Sujeet Shenoi


Gilbert Peterson, Sujeet Shenoi

Twitter Demographics

The data shown below were collected from the profiles of 2 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 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 33 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 18%
Student > Ph. D. Student 4 12%
Student > Postgraduate 3 9%
Student > Bachelor 2 6%
Student > Doctoral Student 1 3%
Other 2 6%
Unknown 15 45%
Readers by discipline Count As %
Computer Science 15 45%
Business, Management and Accounting 1 3%
Engineering 1 3%
Design 1 3%
Unknown 15 45%