Teaching and Supervision

“Cyber Security Lecture Series” contains the education material developed as part of the TU Delft CSE teaching team.

Teaching

Topic: "Using Sequential Traces for Attacker Behavior Analysis" (Guest lecture).
[CS4035] Cyber Data Analytics (MSc.)
TU Delft
Slides
2021 - 2022
Topic: "Explainable Artificial Intelligence (XAI)" (Guest lecture).
[CSE2525] Data Mining (BSc.)
TU Delft
Slides Recording
2022
Topic: "Introduction to IT and OT Security" (Guest lecture).
[Part-1] Intro to Cyber Security (Exec MSc.)
Leiden University
Slides Slides
2023

Cyber Security Lecture Series

Topic: "Security Testing - Checking for what shouldn't happen".
[CSE1110] Software Quality and Testing
TU Delft
Slides Transcript
2019 - 2022
Topic: "Web Security - Exploiting and Mitigating the OWASP Top 10".
[CSE1500] Web and Database Technologies
TU Delft
Slides Transcript
2019 - 2021
Topic: "Breaking databases via SQL Injection attacks".
[CSE1505] Information and Data Management
TU Delft
Slides Recording
2018 - 2023

Supervision

Master theses
"Real-time Attack graph generation using S-PDFA".
Ion Băbălău Thesis 		2023
"Critical Path Prioritization Dashboard for Alert-driven Attack Graphs".
Sònia Leal Díaz (University Carlos III of Madrid) Thesis 		2023
"Robust Attack graphs".
Dennis Mouwen Thesis 		2022
"Mining Attack Strategy: Using Process Mining to extract attacker strategy from IDS alerts".
Geert Habben Jansen Thesis 		2021
"Behaviour Modelling and Anomaly Detection in Smart-Home IoT Devices".
Sandesh Manganahalli Jayaprakash Thesis 		2019
Bachelor theses
"Investigating the modeling assumptions of alert-driven attack graphs".
Jegor Zelenjak, Ioan Oprea, Vlad Constantinescu, Alexandru Dumitriu, Senne Van den Broeck 		2023
"New Approach for Cyber Attack Identification Based on a Machine Learning Anomaly Detection Model and a Security Dashboard".
Sònia Leal Díaz (Ramon Llull University) 		2022
"SeqClu: Real-time sequence clustering using online K-medoids algorithm".
Silviu Fucarev, Rami Al-Obaidi, Ruben te Wierik 		2021
"Malware behavior discovery using unsupervised machine learning".
Jonathan Garack, Mikhail Epifanov, Johannes Hagspiel, Sung kyung Park, Hugo de Heer 		2021