Kaspar Hageman

Kaspar Hageman

Postdoctoral researcher in Computer Engineering

Aarhus University, Networks and Analytics group

About me

A curiosity for where computer science, data and math meet. Right now this involves drones too!

I am working as a postdoctoral researcher at Aarhus University, Denmark, in the Network and Analytics research group. Prior to that, I spent four year at Aalborg University, Denmark to obtain my PhD degree.

Interests
  • Optimization problems in drone swarms
  • Network Security
  • DNS and TLS analysis
  • Machine Learning
Education

  • PhD in Network Security, 2022

    Aalborg University, Denmark

  • MSc Telematics, 2015

    University of Twente, The Netherlands

  • BSc in Computer Science, 2013

    University of Twente, The Netherlands

Experience

 
 
 
 
 
Aarhus University
Postdoctoral researcher
Aarhus University
Dec 2021 – Present Aarhus, Denmark

Contributing to the Drones4Safety project, focusing specifically on the coordination, collaboration and communication aspects of drone swarms. Furthermore, this role includes supervision of (master) student research projects. Keywords:

  • Mathematical optimization
  • Secure group member management
 
 
 
 
 
Aalborg University
PhD fellow
Aalborg University
Nov 2017 – Oct 2021 Aalborg, Denmark

Conducted research in the field of network security. The PhD focused on various aspect related to Internet abuse on a network level, including TLS certificates in phishing attacks, NetFlow traffic without preceding DNS resolutions, evasion of DNS-based detection and issues with Android authorship attribution. During the PhD, I spent several months at IMDEA Networks as a visiting researcher.
As a secondary contribution, I contributed to the Haaukins education platform as part of teaching activities.

Thesis title: Network Measurement and Security – Untangling the Web of Domain Names, Certificates and Mobile Apps

 
 
 
 
 
Nedap Healthcare
Software engineer
Nedap Healthcare
May 2016 – Jan 2017 Groenlo, the Netherlands
Contributed with improvements to the performance and monitoring efforts of the service-oriented architecture of the different web applications within the company. In addition, I was the product owner of the internal Single Sign-On (SSO) service to third-party applications.
 
 
 
 
 
SURFnet
Researcher
SURFnet
Nov 2015 – Feb 2016 Utrecht, the Netherlands
The continuation of the master thesis, with the goal of preparing the work for academic publication. Tasks included performing passive DNS measurements and the analysis of the resulting data.

Publications

Kaspar Hageman, Egon Kidmose, René Rydhof Hansen, Jens Myrup Pedersen (2022). Understanding the Challenges of Blocking Unnamed Network Traffic. NOMS 2022.

Cite DOI

Sajad Homayoun, Kaspar Hageman, Sam Afzal-Houshmand,, Christian Damsgaard Jensen,, Jens Myrup Pedersen (2022). Detecting Ambiguous Phishing Certificates using Machine Learning. ICOIN 2022.

Cite DOI

Kaspar Hageman, René Rydhof Hansen, Jens Myrup Pedersen (2021). Gollector: Measuring Domain Name Dark Matter from Different Vantage Points. NordSec 2021.

Cite DOI

Gian Marco Menecozzi, Kaspar Hageman, Thomas Kobber Panum, Ahmet Türkmen, Rasmi-Vlad Mahmoud, Jens Myrup Pedersen (2021). Bridging the Gap: Adapting a Security Education Platform to a New Audience. EDUCON 2021.

Cite DOI

Kaspar Hageman, Egon Kidmose, René Rydhof Hansen, Jens Myrup Pedersen (2021). Can a TLS Certificate be Phishy?. SECRYPT 2021.

Cite DOI

Thomas Kobber Panum, Kaspar Hageman, René Rydhof Hansen, Jens Myrup Pedersen (2020). Towards Adversarial Phishing Detection. CSET 20.

Cite Link

Thomas Kobber Panum, Kaspar Hageman, Jens Myrup Pedersen, René Rydhof Hansen (2019). Haaukins: A Highly Accessible and Automated Virtualization Platform for Security Education. ICALT 2019.

Cite DOI

Roland van Rijswijk-Deij, Kaspar Hageman, Anna Sperotto, Aiko Pras (2016). The Performance Impact of Elliptic Curve Cryptography on DNSSEC Validation. IEEE/ACM Transactions on Networking.

Cite DOI

Contact