Bernhard Haslhofer
Univ.Lektor Dr.techn.
About
I lead research on digital currencies at the Complexity Science Hub. My research interests are:
- Digital Assets & DeFi: Developing computational methods to analyze technical and socio-economic aspects of cryptoasset and decentralized finance ecosystems.
- Digital Crime & Forensics: Creating computational methods to understand and combat emerging cybercrime phenomena.
- Disinformation: Analyzing structure and dynamics of large-scale disinformation campaigns.
Role
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External Lecturer
Logic and Computation, E192
Courses
Publications
- Cross-Layer Deanonymization Methods in the Lightning Protocol / Romiti, M., Victor, F., Moreno-Sanchez, P., Nordholt, P. S., Haslhofer, B., & Maffei, M. (2021). Cross-Layer Deanonymization Methods in the Lightning Protocol. In Financial Cryptography and Data Security 25th International Conference, FC 2021, Virtual Event, March 1–5, 2021, Revised Selected Papers, Part I. Springer Verlag, Austria. Springer LNCS. https://doi.org/10.1007/978-3-662-64322-8_9
Supervisions
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Detecting Bot Wallets on the Ethereum Blockchain
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Niedermayer, T. (2024). Detecting Bot Wallets on the Ethereum Blockchain [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2024.106562
Download: PDF (3.26 MB) -
A systematic investigation of illicit money flows in the DeFi ecosystem
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Luzian, S. (2022). A systematic investigation of illicit money flows in the DeFi ecosystem [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2023.106121
Download: PDF (2.61 MB) -
Tracing cryptoassets across chains: An empirical analysis of the Terra network
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Haimerl, N. (2022). Tracing cryptoassets across chains: An empirical analysis of the Terra network [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2023.103500
Download: PDF (2.27 MB)