Thesis
Data Forensics of E-Mail Headers: What Can We Learn About the Attacker(s)?
Supervisor
Thesis: Bachelor’s/Master’s Thesis
This thesis uses forensic analysis of email headers to extract information about attackers, such as their location, tools, and tactics. The goal is to develop methods for attributing phishing or spam campaigns to specific threat actors, locations and/or identify patterns.
Prerequisities
Required
- Understanding of email protocols (e.g., SMTP, MIME) and email header structure
- Basic understanding of machine learning and articifial intelligence (finished the course Foundations of Artificial Intelligence)
- Proficiency in at least one programming language
Optional
- You took the following courses:
- Internettechnologies & Web Engineering
- Advanced Methods of Machine Learning
- Computer Networks and Communication Systems
- Security in Communication Networks
- Basic knowledge of digital forensics and network analysis
- Basic knowledge of principles related to spam and phishing
- Experience with data visualization tools
- Proficiency in using LaTeX