Machine Learning for Authorship Attribution and Cyber Forensics

✍ Scribed by Farkhund Iqbal, Mourad Debbabi, Benjamin C. M. Fung

Publisher: Springer International Publishing;Springer
Year: 2020
Tongue: English
Leaves: 163
Series: International Series on Computer Entertainment and Media Technology
Edition: 1st ed.
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

The book first explores the cybersecurity’s landscape and the inherent susceptibility of online communication system such as e-mail, chat conversation and social media in cybercrimes. Common sources and resources of digital crimes, their causes and effects together with the emerging threats for society are illustrated in this book. This book not only explores the growing needs of cybersecurity and digital forensics but also investigates relevant technologies and methods to meet the said needs. Knowledge discovery, machine learning and data analytics are explored for collecting cyber-intelligence and forensics evidence on cybercrimes.

Online communication documents, which are the main source of cybercrimes are investigated from two perspectives: the crime and the criminal. AI and machine learning methods are applied to detect illegal and criminal activities such as bot distribution, drug trafficking and child pornography. Authorship analysis is applied to identify the potential suspects and their social linguistics characteristics. Deep learning together with frequent pattern mining and link mining techniques are applied to trace the potential collaborators of the identified criminals.

Finally, the aim of the book is not only to investigate the crimes and identify the potential suspects but, as well, to collect solid and precise forensics evidence to prosecute the suspects in the court of law.

✦ Table of Contents

Front Matter ....Pages i-ix
Cybersecurity And Cybercrime Investigation (Farkhund Iqbal, Mourad Debbabi, Benjamin C. M. Fung)....Pages 1-21
Messaging Forensics In Perspective (Farkhund Iqbal, Mourad Debbabi, Benjamin C. M. Fung)....Pages 23-36
Analyzing Network Level Information (Farkhund Iqbal, Mourad Debbabi, Benjamin C. M. Fung)....Pages 37-44
Authorship Analysis Approaches (Farkhund Iqbal, Mourad Debbabi, Benjamin C. M. Fung)....Pages 45-56
Writeprint Mining For Authorship Attribution (Farkhund Iqbal, Mourad Debbabi, Benjamin C. M. Fung)....Pages 57-74
Authorship Attribution With Few Training Samples (Farkhund Iqbal, Mourad Debbabi, Benjamin C. M. Fung)....Pages 75-87
Authorship Characterization (Farkhund Iqbal, Mourad Debbabi, Benjamin C. M. Fung)....Pages 89-94
Authorship Verification (Farkhund Iqbal, Mourad Debbabi, Benjamin C. M. Fung)....Pages 95-103
Authorship Attribution Using Customized Associative Classification (Farkhund Iqbal, Mourad Debbabi, Benjamin C. M. Fung)....Pages 105-120
Criminal Information Mining (Farkhund Iqbal, Mourad Debbabi, Benjamin C. M. Fung)....Pages 121-137
Artificial Intelligence And Digital Forensics (Farkhund Iqbal, Mourad Debbabi, Benjamin C. M. Fung)....Pages 139-150
Back Matter ....Pages 151-158

✦ Subjects

Computer Science; Data Mining and Knowledge Discovery; Cybercrime

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