Students/Positions

Open positions

  • Fully funded PhD position (deadline 30.09.2022): all information on how to apply can be found here.
  • Contact me if you have (or close to have) an MSc in cyber-security and you are keen into doing a PhD with me! Please include a CV on your email.

Postdoctoral researchers

  • Erick Armando Diaz Hernandez (2022-now), area: threat detection in blockchain networks

PhD Students

  • Ongoing: Dimitrios Georgoulias (Aalborg University, 2020-now), area: botnets
  • Ongoing: Shreyas Srinivasa (Aalborg University, 2020-now), area: honeypots, offensive cyber-security
  • Completed 🎉: Martin Fejrskov Andersen (Aalborg University, Telenor Denmark, 2019-2022), area: ISP-level malware detection

Google Summer of Code (GSoC)

  • Ricardo Maria Yaben Lopezosa (Aalborg University, 2022): RIoTPot honeypot development
  • Abhimanyu Rawat (Universitat Pompeu Fabra, 2021): RIoTPot honeypot development
  • Filip Adamik (Aalborg University, 2021), area: HosTaGe mobile honeypot development
  • Eirini Lygerou (Athens University of Economics and Business, 2020), area: HosTaGe mobile honeypot development

MSc Students

  • Hackers Are Moving: A Quantitative Analysis of Darknet Markets Products Related to Cyber Security, Ricardo Maria Yaben Lopezosa (Aalborg University, 2022)
  • Incident Information Sharing in the Danish Critical Infrastructure: Proposal of a Conceptual Centralised Framework, Ievgeniia Moturi, Michael Christensen, Livia Dzupinova (Aalborg University, 2022)
  • Password Labeller, A game for investigative study into the implicit, sociological meaning of passwords, Daniel Christopher Mølmark-O’Connor (Aalborg University, 2022)
  • IT Reconnaissance Automation, Mathias Gam-Pedersen (Aalborg University, 2022)
  • Scalable Sandboxing System, Kim Christensen (Aalborg University, 2022)
  • Cyber Risk Quantification Using Open-Source Intelligence Gathering, Jimmi Frankel Torp (Aalborg University, 2022)
  • Early Vulnerability Detection Using Signals from Web, Filip Adamik (Aalborg University, 2020)
  • Feasibility of Blockchain-based Botnets: Emine Saracoglu (TU Darmstadt, 2019)
  • Investigating the capabilities of a binary classifier to detect known and unknown botnets: Giorgio Bertagnolli (TU Darmstadt, 2019)
  • Reverse Engineering of Sophisticated peer-to-peer IoT-Botnet Malware: Joel Küpper (TU Darmstadt, 2018)
  • A Fuzzy Password Strength Evaluator for analysing large leaked password databases: Hong Ngoc Hoang (TU Darmstadt, 2018)
  • HoneyDrone – A Honeypot for Drone Systems: Dhanasekar Boopalan (TU Darmstadt, 2018)
  • Trust in Collaborative Intrusion Detection: Franklin Labang G. (TU Darmstadt, 2018)
  • On P2P Botnet Monitoring in Adverse Conditions: Leon Böck (TU Darmstadt, 2017)
  • Using blockchains for alert data dissemination between CIDS monitors: Natalia Reka Ivanko (TU Darmstadt, 2017)
  • Trust Management in P2P Botnets: Jan Helge Wolf (TU Darmstadt, 2017)
  • On the Analysis & Generation of Synthetic Attacks for Intrusion Detection Systems: Aidmar Wainakh (TU Darmstadt, 2017) *** shortlisted for the Competence Center for Applied Security Technology (CAST) award for IT Security 2018 ***
  • Comparison and Evaluation of Honeypots: Pereira Sherryl Ann (TU Darmstadt, 2016)
  • Extended probe-response attacks on cyber-incident monitors: Sharief Noorulla (TU Darmstadt, 2016)
  • A Mobile Honeypot for Industrial Control Systems: Shreyas Srinivasa (TU Darmstadt, 2015)
  • ID2T: an Intrusion Detection Dataset Toolkit: Nikolay Milanov (TU Darmstadt, 2015)
  • Probe response attacks on cyber incident monitors: Michael Stahn (TU Darmstadt, 2015)
  • Membership Management for unstructured distributed Collaborative IDS: Matthias Krügl (TU Darmstadt, 2015)
  • Peer to peer based Intrusion Detection: Ahsan Malik (TU Darmstadt, 2014)

BSc Students

  • Analyzing Bitcoin’s OP RETURN operator: Johannes Mols (Aalborg University, 2020)
  • Infiltrating Dark Net Underground Hacking Marketplaces: Ricardo Maria Yaben Lopezosa (Aalborg University, 2020)
  • Developing an Autonomous Drone using Machine Learning and Simulations: Lasse Skjøtt Hansen, Anton Krogh Petersen (Aalborg University, 2020)
  • Blockchain-based market for alert data exchange in Collaborative Intrusion Detections Systems: Steven Rowe (TU Darmstadt, 2018)
  • A Toolkit for Synthetic Injection of Attacks into Network Data: Patrick Jattke (TU Darmstadt, 2016)