RT Book
T1 Machine learning for authorship attribution and cyber forensics
T2 International series on computer entertainment and media technology
A1 Iqbal, Farkhund
A2 Debbabi, Mourad
A2 Fung, Benjamin C. M.
LA English
PP Cham, Switzerland
PB Springer
YR 2020
UL https://krimdok.uni-tuebingen.de/Record/1744537453
AB 1. Cybersecurity And Cybercrime Investigation -- 2. Machine Learning Framework For Messaging Forensics -- 3. Header-Level Investigation And Analyzing Network Information -- 4. Authorship Analysis Approaches -- 5. Authorship Analysis -- Writeprint Mining For Authorship Attribution -- 6. Authorship Attribution With Few Training Samples -- 7. Authorship Characterization -- 8. Authorship Verification -- 9. Authorship Attribution Using Customized Associative Classification -- 10. Criminal Information Mining -- 11. Artificial Intelligence And Digital Forensics.
AB 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
CN QA76.9.D343
SN 9783030616748
K1 Data Mining
K1 machine learning
K1 Computer crimes
K1 Maschinelles Lernen : Computerkriminalität : Computersicherheit : Hacker : Organisiertes Verbrechen : Data Mining : Soziales Netzwerk : Urheber : Agent : Künstliche Intelligenz