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Advances in Digital Forensics V

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Cover of 'Advances in Digital Forensics V'

Table of Contents

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    Book Overview
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    Chapter 1 Digital Forensics as a Surreal Narrative
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    Chapter 2 Digital Forensic Research: The Good, the Bad and the Unaddressed
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    Chapter 3 Towards a Formalization of Digital Forensics
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    Chapter 4 Bulk Email Forensics
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    Chapter 5 Analyzing the Impact of a Virtual Machine on a Host Machine
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    Chapter 6 Temporal Analysis of Windows MRU Registry Keys
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    Chapter 7 Using DCT Features for Printing Technique and Copy Detection
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    Chapter 8 Source Camera Identification Using Support Vector Machines
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    Chapter 9 Forensic Analysis of the Sony Playstation Portable
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    Chapter 10 Implementing Boot Control for Windows Vista
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    Chapter 11 A Forensic Framework for Handling Information Privacy Incidents
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    Chapter 12 Tracking Contraband Files Transmitted Using Bittorrent
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    Chapter 13 A Model for Foxy Peer-to-Peer Network Investigations
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    Chapter 14 Detecting Fraud in Internet Auction Systems
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    Chapter 15 A Cloud Computing Platform for Large-Scale Forensic Computing
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    Chapter 16 Password Cracking Using Sony Playstations
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    Chapter 17 A Cost-Effective Model for Digital Forensic Investigations
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    Chapter 18 Analysis of the Digital Evidence Presented in the Yahoo! Case
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    Chapter 19 Assessing the Legal Risks in Network Forensic Probing
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    Chapter 20 A Survey of the Legal Issues Facing Digital Forensic Experts
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    Chapter 21 An Extended Model for E-Discovery Operations
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    Chapter 22 Concept Mapping for Digital Forensic Investigations
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    Chapter 23 System Support for Forensic Inference
Attention for Chapter 8: Source Camera Identification Using Support Vector Machines
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19 Mendeley
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Chapter title
Source Camera Identification Using Support Vector Machines
Chapter number 8
Book title
Advances in Digital Forensics V
Published in
ADS, January 2009
DOI 10.1007/978-3-642-04155-6_8
Book ISBNs
978-3-64-204154-9, 978-3-64-204155-6

Bo Wang, Xiangwei Kong, Xingang You

Mendeley readers

The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 19 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 21%
Student > Ph. D. Student 3 16%
Other 2 11%
Student > Postgraduate 2 11%
Researcher 1 5%
Other 3 16%
Unknown 4 21%
Readers by discipline Count As %
Computer Science 8 42%
Engineering 2 11%
Agricultural and Biological Sciences 1 5%
Linguistics 1 5%
Business, Management and Accounting 1 5%
Other 0 0%
Unknown 6 32%