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Digital Forensics and Cyber Crime

Overview of attention for book
Cover of 'Digital Forensics and Cyber Crime'

Table of Contents

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    Book Overview
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    Chapter 1 FindEvasion: An Effective Environment-Sensitive Malware Detection System for the Cloud
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    Chapter 2 Real-Time Forensics Through Endpoint Visibility
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    Chapter 3 On Locky Ransomware, Al Capone and Brexit
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    Chapter 4 Finding and Rating Personal Names on Drives for Forensic Needs
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    Chapter 5 A Web-Based Mouse Dynamics Visualization Tool for User Attribution in Digital Forensic Readiness
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    Chapter 6 Open Source Forensics for a Multi-platform Drone System
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    Chapter 7 A Novel File Carving Algorithm for EVTX Logs
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    Chapter 8 Fuzzy System-Based Suspicious Pattern Detection in Mobile Forensic Evidence
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    Chapter 9 Digital Forensic Readiness in Critical Infrastructures: A Case of Substation Automation in the Power Sector
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    Chapter 10 A Visualization Scheme for Network Forensics Based on Attribute Oriented Induction Based Frequent Item Mining and Hyper Graph
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    Chapter 11 Expediting MRSH-v2 Approximate Matching with Hierarchical Bloom Filter Trees
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    Chapter 12 Approxis: A Fast, Robust, Lightweight and Approximate Disassembler Considered in the Field of Memory Forensics
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    Chapter 13 Memory Forensics and the Macintosh OS X Operating System
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    Chapter 14 Sketch-Based Modeling and Immersive Display Techniques for Indoor Crime Scene Presentation
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    Chapter 15 An Overview of the Usage of Default Passwords
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    Chapter 16 Automation of MitM Attack on Wi-Fi Networks
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    Chapter 17 SeEagle: Semantic-Enhanced Anomaly Detection for Securing Eagle
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    Chapter 18 Coriander: A Toolset for Generating Realistic Android Digital Evidence Datasets
Overall attention for this book and its chapters
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Mentioned by

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4 X users
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1 Google+ user

Citations

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Title
Digital Forensics and Cyber Crime
Published by
Springer, Cham, February 2018
DOI 10.1007/978-3-319-73697-6
ISBNs
978-3-31-973696-9, 978-3-31-973697-6
Editors

Petr Matoušek, Martin Schmiedecker

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 100%
Readers by discipline Count As %
Computer Science 2 100%