Common sources and resources of digital cs, their causes and effects together with the emeg 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 cybercs.

Online communication documents, which are the main source of cybercs are investigated from two perspectives: the c 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 cs 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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