Machine Learning for Authorship Attribution and Cyber Forensics
Produktnummer:
189864757ec3824b2c8a8895f81b84f9c6
Autor: | Debbabi, Mourad Fung, Benjamin C. M. Iqbal, Farkhund |
---|---|
Themengebiete: | Authorship analysis Authorship identification Classification Clustering Crime investigation Cybercrime Cyber forensics Data mining Forensic investigation Statistical analysis |
Veröffentlichungsdatum: | 05.12.2020 |
EAN: | 9783030616748 |
Sprache: | Englisch |
Seitenzahl: | 158 |
Produktart: | Gebunden |
Verlag: | Springer International Publishing |
Produktinformationen "Machine Learning for Authorship Attribution and Cyber Forensics"
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 potentialsuspects 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.

Sie möchten lieber vor Ort einkaufen?
Sie haben Fragen zu diesem oder anderen Produkten oder möchten einfach gerne analog im Laden stöbern? Wir sind gerne für Sie da und beraten Sie auch telefonisch.
Juristische Fachbuchhandlung
Georg Blendl
Parcellistraße 5 (Maxburg)
8033 München
Montag - Freitag: 8:15 -18 Uhr
Samstags geschlossen