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Advances in Digital Forensics XI

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

Table of Contents

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    Book Overview
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    Chapter 1 Advances in Digital Forensics XI
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    Chapter 2 Advances in Digital Forensics XI
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    Chapter 3 Advances in Digital Forensics XI
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    Chapter 4 Advances in Digital Forensics XI
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    Chapter 5 Advances in Digital Forensics XI
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    Chapter 6 Advances in Digital Forensics XI
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    Chapter 7 Advances in Digital Forensics XI
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    Chapter 8 Advances in Digital Forensics XI
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    Chapter 9 Advances in Digital Forensics XI
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    Chapter 10 DETERMINING TRIGGER INVOLVEMENT DURING FORENSIC ATTRIBUTION IN DATABASES
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    Chapter 11 USING INTERNAL MySQL/InnoDB B-TREE INDEX NAVIGATION FOR DATA HIDING
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    Chapter 12 IDENTIFYING PASSWORDS STORED ON DISK
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    Chapter 13 FRAGMENTED JPEG FILE RECOVERY USING PSEUDO HEADERS
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    Chapter 14 FORENSIC-READY SECURE iOS APPS FOR JAILBROKEN iPHONES
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    Chapter 15 A FRAMEWORK FOR DESCRIBING MULTIMEDIA CIRCULATION IN A SMARTPHONE ECOSYSTEM
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    Chapter 16 A TRUSTWORTHY CLOUD FORENSICS ENVIRONMENT
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    Chapter 17 LOCATING AND TRACKING DIGITAL OBJECTS IN THE CLOUD
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    Chapter 18 A TOOL FOR EXTRACTING STATIC AND VOLATILE FORENSIC ARTIFACTS OF WINDOWS 8.x APPS
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    Chapter 19 CRITERIA FOR VALIDATING SECURE WIPING TOOLS
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    Chapter 20 Advances in Digital Forensics XI
Attention for Chapter 14: FORENSIC-READY SECURE iOS APPS FOR JAILBROKEN iPHONES
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Citations

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15 Mendeley
Summary Dimensions citations
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Chapter title
FORENSIC-READY SECURE iOS APPS FOR JAILBROKEN iPHONES
Chapter number 14
Book title
Advances in Digital Forensics XI
Published by
Springer, Cham, January 2015
DOI 10.1007/978-3-319-24123-4_14
Book ISBNs
978-3-31-924122-7, 978-3-31-924123-4
Authors

Jayaprakash Govindaraj, Rashmi Mata, Robin Verma, Gaurav Gupta

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 47%
Student > Ph. D. Student 5 33%
Lecturer 1 7%
Other 1 7%
Student > Postgraduate 1 7%
Other 0 0%
Readers by discipline Count As %
Computer Science 12 80%
Engineering 3 20%

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