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haslhofer@csh.ac.at

@behas.bsky.social
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Bernhard Haslhofer | Research Profile

I am a research group leader at the Complexity Science Hub Vienna, where I lead the Digital Currency Ecosystems research group. In addition, I am a co-founder of Iknaio Cryptoasset Analytics and a court-certified expert spezializing in IT and cryptoasset forensics.

Research Interests

  • Digital Assets and Decentralized Finance (DeFi): My research focuses on developing and applying computational methods to analyze the technical and socio-economic aspects of cryptoasset ecosystems. The goal is to enable informed decision-making and foster a deeper understanding of emerging digital asset landscapes.
  • Digital Crime and Forensics: I am designing methodologies to uncover the modus operandi of emerging cybercrime phenomena. These insights are then translated into advanced digital forensic techniques to combat evolving digital threats.
  • Disinformation: Through collaborations with fellow researchers, I work to map and analyze the structure and dynamics of large-scale disinformation campaigns, aiming to unveil their impact and develop effective countermeasures.

News

Mar 2025 - The tentative programme of our upcoming Workshop on Cryptoassets Analytics, this time co-located with FC'25 is now online.

Feb 2025 - Our paper on Linking Cryptoasset Attribution Tags to Knowledge Graph Entities: An LLM-based Approach got accepted for FC'25 is now available as pre-print.

Jan 2025 - Our study Mapping the DeFi Crime Landscape finally got published in the Journal of Cybersecurity.

Dec 2024 - Our spin-off, Iknaio Cryptoasset Analytics, secured its first European grant and joined the Horizon Europe ENSEMBLE project to combat advanced cyber threats using AI.

Nov 2024 - We will host the next edition of our Cryptoasset Analytics workshop (CAAW'25) at the Financial Cryptography and Data Security in Japan next year.

Oct 2024 - We hosted the second GraphSense Connect Event. As last year, the goal was to connect users, developers, and stakeholders working with our open source cryptoasset analytics platform.