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Digital Forensics and Cyber Crime

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Cover of 'Digital Forensics and Cyber Crime'

Table of Contents

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    Book Overview
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    Chapter 1 Digital Evidence Composition in Fraud Detection
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    Chapter 2 iForensics: Forensic Analysis of Instant Messaging on Smart Phones
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    Chapter 3 A Survey of Forensic Localization and Tracking Mechanisms in Short-Range and Cellular Networks
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    Chapter 4 SMIRK: SMS Management and Information Retrieval Kit
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    Chapter 5 Localization and Detection of Vector Logo Image Plagiarism
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    Chapter 6 Analysis of Free Download Manager for Forensic Artefacts
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    Chapter 7 On the Reliability of Cell Phone Camera Fingerprint Recognition
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    Chapter 8 Towards a New Data Mining-Based Approach for Anti-Money Laundering in an International Investment Bank
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    Chapter 9 Analysis of Evidence Using Formal Event Reconstruction
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    Chapter 10 Data Mining Instant Messaging Communications to Perform Author Identification for Cybercrime Investigations
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    Chapter 11 Digital Evidence Retrieval and Forensic Analysis on Gambling Machine
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    Chapter 12 Digital Forensics and Cyber Crime
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    Chapter 13 Criminal Defense Challenges in Computer Forensics
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    Chapter 14 Detecting and Preventing the Electronic Transmission of Illicit Images and Its Network Performance
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    Chapter 15 A Discretionary Access Control Method for Preventing Data Exfiltration (DE) via Removable Devices
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    Chapter 16 A Host-Based Approach to BotNet Investigation?
Attention for Chapter 2: iForensics: Forensic Analysis of Instant Messaging on Smart Phones
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Citations

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Readers on

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57 Mendeley
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Chapter title
iForensics: Forensic Analysis of Instant Messaging on Smart Phones
Chapter number 2
Book title
Digital Forensics and Cyber Crime
Published by
Springer, Berlin, Heidelberg, September 2009
DOI 10.1007/978-3-642-11534-9_2
Book ISBNs
978-3-64-211533-2, 978-3-64-211534-9
Authors

Mohammad Iftekhar Husain, Ramalingam Sridhar, Husain, Mohammad Iftekhar, Sridhar, Ramalingam

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Sweden 1 2%
Czechia 1 2%
South Africa 1 2%
Unknown 54 95%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 12 21%
Student > Master 11 19%
Student > Ph. D. Student 9 16%
Student > Postgraduate 5 9%
Researcher 4 7%
Other 9 16%
Unknown 7 12%
Readers by discipline Count As %
Computer Science 43 75%
Engineering 2 4%
Linguistics 1 2%
Social Sciences 1 2%
Business, Management and Accounting 1 2%
Other 0 0%
Unknown 9 16%