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 soci...
| Main Authors: | , , |
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| Format: | eBook |
| Language: | English |
| Published: |
Cham
Springer International Publishing
2020, 2020
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| Edition: | 1st ed. 2020 |
| Series: | International Series on Computer, Entertainment and Media Technology
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| Subjects: | |
| Online Access: | |
| Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
Table of Contents:
- 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