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Machine Learning for Authorship Attribution and Cyber Forensics (Hardcover, 1st ed. 2020)
Loot Price: R4,739
Discovery Miles 47 390
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Machine Learning for Authorship Attribution and Cyber Forensics (Hardcover, 1st ed. 2020)
Series: International Series on Computer Entertainment and Media Technology
Expected to ship within 10 - 15 working days
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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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