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Advances in Digital Forensics XV

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Cover of 'Advances in Digital Forensics XV'

Table of Contents

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    Book Overview
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    Chapter 1 A Holistic Forensic Model for the Internet of Things
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    Chapter 2 Implementing the Harmonized Model for Digital Evidence Admissibility Assessment
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    Chapter 3 Classifying the Authenticity of Evaluated Smartphone Data
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    Chapter 4 Retrofitting Mobile Devices for Capturing Memory-Resident Malware Based on System Side-Effects
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    Chapter 5 A Targeted Data Extraction System for Mobile Devices
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    Chapter 6 Exploiting Vendor-Defined Messages in the USB Power Delivery Protocol
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    Chapter 7 Detecting Anomalies in Programmable Logic Controllers Using Unsupervised Machine Learning
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    Chapter 8 Creating a Map of User Data in NTFS to Improve File Carving
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    Chapter 9 Analyzing Windows Subsystem for Linux Metadata to Detect Timestamp Forgery
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    Chapter 10 Quick Response Encoding of Human Facial Images for Identity Fraud Detection
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    Chapter 11 Using Neural Networks for Fake Colorized Image Detection
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    Chapter 12 Digital Forensic Atomic Force Microscopy of Semiconductor Memory Arrays
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    Chapter 13 Timeline Visualization of Keywords
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    Chapter 14 DETERMINING THE FORENSIC DATA REQUIREMENTS FOR INVESTIGATING HYPERVISOR ATTACKS
Attention for Chapter 14: DETERMINING THE FORENSIC DATA REQUIREMENTS FOR INVESTIGATING HYPERVISOR ATTACKS
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Chapter title
DETERMINING THE FORENSIC DATA REQUIREMENTS FOR INVESTIGATING HYPERVISOR ATTACKS
Chapter number 14
Book title
Advances in Digital Forensics XV
Published by
Springer, Cham, January 2019
DOI 10.1007/978-3-030-28752-8_14
Book ISBNs
978-3-03-028751-1, 978-3-03-028752-8
Authors

Changwei Liu, Anoop Singhal, Ramaswamy Chandramouli, Duminda Wijesekera

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