Teaching and Supervision
“Cyber Security Lecture Series” contains the education material developed as part of the TU Delft CSE teaching team.
Courses
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"Software Security" (MSc. 201600051) University of Twente |
2024 |
Guest Lectures
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Topic: "Machine Learning for Smart Industry Applications". [202000028] Smart Industry Systems (MSc.) University of Twente |
2024 | |
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Topic: "Introduction to IT and OT Security". [P1] Intro to Cyber Security (Exec MSc.) Leiden University |
2023 | |
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Topic: "Explainable Artificial Intelligence (XAI)". [CSE2525] Data Mining (BSc.) TU Delft |
2022 | |
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Topic: "Using Sequential Traces for Attacker Behavior Analysis". [CS4035] Cyber Data Analytics (MSc.) TU Delft |
2021 - 2022 |
Cyber Security Lecture Series (TU Delft)
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Topic: "Security Testing - Checking for what shouldn't happen". [CSE1110] Software Quality and Testing (BSc.) TU Delft |
2019 - 2022 | |
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Topic: "Web Security - Exploiting and Mitigating the OWASP Top 10". [CSE1500] Web and Database Technologies (BSc.) TU Delft |
2019 - 2021 | |
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Topic: "Breaking databases via SQL Injection attacks". [CSE1505] Information and Data Management (BSc.) TU Delft |
2018 - 2023 |
Supervision
Master theses
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"Real-time Attack graph generation using S-PDFA". Ion Băbălău (TU Delft) Thesis |
2023 | |
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"Critical Path Prioritization Dashboard for Alert-driven Attack Graphs". Sònia Leal Díaz (University Carlos III of Madrid) Thesis |
2023 | |
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"Robust Attack graphs". Dennis Mouwen (TU Delft) Thesis |
2022 | |
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"Mining Attack Strategy: Using Process Mining to extract attacker strategy from IDS alerts". Geert Habben Jansen (TU Delft) Thesis |
2021 | |
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"Behaviour Modelling and Anomaly Detection in Smart-Home IoT Devices". Sandesh Manganahalli Jayaprakash (TU Delft) Thesis |
2019 |
Bachelor theses
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"Investigating the modeling assumptions of alert-driven attack graphs". Jegor Zelenjak, Ioan Oprea, Vlad Constantinescu, Alexandru Dumitriu, Senne Van den Broeck (TU Delft) |
2023 | |
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"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 | |
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"SeqClu: Real-time sequence clustering using online K-medoids algorithm". Silviu Fucarev, Rami Al-Obaidi, Ruben te Wierik (TU Delft) |
2021 | |
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"Malware behavior discovery using unsupervised machine learning". Jonathan Garack, Mikhail Epifanov, Johannes Hagspiel, Sung kyung Park, Hugo de Heer (TU Delft) |
2021 |
Design Project (BSc. TCS)
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"Log Analysis and Attack Graph Visualization". Georgios Stournaras, Selin Mehmed, Danila Bren, Megi Pavlova, Daan Luth (University of Twente) Report |
2024 |