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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
Overall attention for this book and its chapters
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Mentioned by

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2 X users
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2 Wikipedia pages

Citations

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1 Dimensions

Readers on

mendeley
15 Mendeley
Summary X Wikipedia Dimensions citations
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Title
Advances in Digital Forensics XIV
Published by
Springer International Publishing, October 2018
DOI 10.1007/978-3-319-99277-8
ISBNs
978-3-31-999276-1, 978-3-31-999277-8
Editors

Peterson, Gilbert, Shenoi, Sujeet

View on publisher site
X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
 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 > Ph. D. Student 1 7%
Unknown 14 93%
Readers by discipline Count As %
Engineering 1 7%
Unknown 14 93%

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