Machine Learning for Authorship Attribution and Cyber Forensics

Name: Machine Learning for Authorship Attribution and Cyber Forensics
Brand: Springer Nature Switzerland AG
SKU: 9783030616779
Price: 881.18 RON
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Autor: Benjamin C. M. Fung, Mourad Debbabi

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Editura: Springer Nature Switzerland AG

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The book first explores the cybersecurity's landscape and the inherent susceptibility of online comm...

Informații despre carte

Autor

Benjamin C. M. Fung, Mourad Debbabi

Limbă

engleză

Legare

Carte - Carte broșată

Publicat

2021

Pagini

158

EAN

9783030616779

ISBN

3030616770

Enbook ID

38404930

Editura

Springer Nature Switzerland AG

Greutate

267

Dimensiuni

155 x 235 x 10

Descriere completă

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.

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Machine Learning for Authorship Attribution and Cyber Forensics

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