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Advances in Digital Forensics XII

Overview of attention for book
Cover of 'Advances in Digital Forensics XII'

Table of Contents

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    Book Overview
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    Chapter 1 On a Scientific Theory of Digital Forensics
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    Chapter 2 Data Privacy Perceptions About Digital Forensic Investigations in India
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    Chapter 3 A Framework for Assessing the Core Capabilities of a Digital Forensic Organization
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    Chapter 4 Optimizing Short Message Text Sentiment Analysis for Mobile Device Forensics
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    Chapter 5 Impact of User Data Privacy Management Controls on Mobile Device Investigations
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    Chapter 6 Analyzing Mobile Device Ads to Identify Users
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    Chapter 7 A Forensic Methodology for Analyzing Nintendo 3DS Devices
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    Chapter 8 Reconstructing Interactions with Rich Internet Applications from HTTP Traces
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    Chapter 9 Reconstructing Tabbed Browser Sessions Using Metadata Associations
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    Chapter 10 A Probabilistic Network Forensic Model for Evidence Analysis
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    Chapter 11 API-Based Forensic Acquisition of Cloud Drives
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    Chapter 12 The Cloud Storage Ecosystem – A New Business Model for Internet Piracy?
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    Chapter 13 Windows 8.x Facebook and Twitter Metro App Artifacts
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    Chapter 14 Profiling Flash Mob Organizers in Web Discussion Forums
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    Chapter 15 Enhancing Image Forgery Detection Using 2-D Cross Products
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    Chapter 16 Forensic Authentication of Bank Checks
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    Chapter 17 Data Type Classification: Hierarchical Class-to-Type Modeling
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    Chapter 18 Secure File Deletion for Solid State Drives
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    Chapter 19 A Tool for Volatile Memory Acquisition from Android Devices
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    Chapter 20 Advanced Automated Disk Investigation Toolkit
Attention for Chapter 9: Reconstructing Tabbed Browser Sessions Using Metadata Associations
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Citations

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Chapter title
Reconstructing Tabbed Browser Sessions Using Metadata Associations
Chapter number 9
Book title
Advances in Digital Forensics XII
Published by
Springer, Cham, January 2016
DOI 10.1007/978-3-319-46279-0_9
Book ISBNs
978-3-31-946278-3, 978-3-31-946279-0
Authors

Sriram Raghavan, S. V. Raghavan

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 29%
Student > Master 2 29%
Other 1 14%
Student > Ph. D. Student 1 14%
Unknown 1 14%
Readers by discipline Count As %
Computer Science 5 71%
Decision Sciences 1 14%
Unknown 1 14%

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