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Advances in Digital Forensics XIV

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

Table of Contents

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    Book Overview
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    Chapter 1 Measuring Evidential Weight in Digital Forensic Investigations
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    Chapter 2 Challenges, Opportunities and a Framework for Web Environment Forensics
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    Chapter 3 Internet of Things Forensics – Challenges and a Case Study
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    Chapter 4 Recovery of Forensic Artifacts from Deleted Jump Lists
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    Chapter 5 Obtaining Precision-Recall Trade-Offs in Fuzzy Searches of Large Email Corpora
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    Chapter 6 Anti-Forensic Capacity and Detection Rating of Hidden Data in the Ext4 Filesystem
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    Chapter 7 Detecting Data Leakage from Hard Copy Documents
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    Chapter 8 Information-Entropy-Based DNS Tunnel Prediction
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    Chapter 9 Collecting Network Evidence Using Constrained Approximate Search Algorithms
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    Chapter 10 Traffic Classification and Application Identification in Network Forensics
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    Chapter 11 Enabling Non-Expert Analysis OF Large Volumes OF Intercepted Network Traffic
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    Chapter 12 Hashing Incomplete and Unordered Network Streams
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    Chapter 13 A Network Forensic Scheme Using Correntropy-Variation for Attack Detection
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    Chapter 14 A Taxonomy of Cloud Endpoint Forensic Tools
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    Chapter 15 A Layered Graphical Model for Cloud Forensic Mission Attack Impact Analysis
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    Chapter 16 Forensic Analysis of Android Steganography Apps
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    Chapter 17 Automated Vulnerability Detection in Embedded Devices
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    Chapter 18 A Forensic Logging System for Siemens Programmable Logic Controllers
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    Chapter 19 Enhancing the Security and Forensic Capabilities of Programmable Logic Controllers
Attention for Chapter 2: Challenges, Opportunities and a Framework for Web Environment Forensics
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Citations

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Chapter title
Challenges, Opportunities and a Framework for Web Environment Forensics
Chapter number 2
Book title
Advances in Digital Forensics XIV
Published by
Springer, Cham, January 2018
DOI 10.1007/978-3-319-99277-8_2
Book ISBNs
978-3-31-999276-1, 978-3-31-999277-8
Authors

Mike Mabey, Adam Doupé, Ziming Zhao, Gail-Joon Ahn

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 21 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 29%
Researcher 3 14%
Lecturer 2 10%
Student > Ph. D. Student 2 10%
Student > Doctoral Student 1 5%
Other 3 14%
Unknown 4 19%
Readers by discipline Count As %
Computer Science 13 62%
Social Sciences 2 10%
Business, Management and Accounting 1 5%
Engineering 1 5%
Unknown 4 19%

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