Cryptoasset Analytics Platform

GraphSense is developed mainly by Iknaio Cryptoasset Analytics in close collaboration with the Complexity Science Hub. Iknaio was founded in 2021 by the project's core development team and runs GraphSense as a fully managed hosted service, so teams can use it without operating their own infrastructure. It also builds additional operational tools — such as Pathfinder, CaseConnect, and QuickLock — on top of the open-source platform, and offers services tailored to customer needs.

The platform originated in 2015 as a publicly funded research project at the Austrian Institute of Technology (AIT), led by Bernhard Haslhofer as Principal Investigator. It grew out of several research projects supported by public funding programs, including the Austrian FFG (IKT der Zukunft, KIRAS), and the EU Horizon 2020 program (TITANIUM).

The software itself remains fully open-source and MIT-licensed. Iknaio is its commercial service and development partner; the two are complementary, not competing.

The GraphSense system design supports UTXO- (e.g., Bitcoin) and account-model (e.g., Ethereum, Tron) ledgers. Currently, adapters are available for major cryptocurrencies like Bitcoin, Bitcoin Cash, Litecoin, Zcash, Ethereum and Tron. Additional ledgers can be integrated by implementing a lightweight adapter component.

Haslhofer, B., Stütz, R., Romiti, M., & King, R. (2021). GraphSense: A general-purpose cryptoasset analytics platform. Arxiv pre-print. (pdf)

@article{Haslhofer:2021a,
    title = {GraphSense: A General-Purpose Cryptoasset Analytics Platform}, 
    author = {Bernhard Haslhofer and Rainer Stütz and Matteo Romiti and Ross King},
    year = {2021},
    journal = {Arxiv pre-print},
    url = {https://arxiv.org/abs/2102.13613}
  }
  

GraphSense has already supported several scientific studies:

Stütz, R., Stifter, N., Dragaschnig, M., Haslhofer, B., & Judmayer, A. (2026). Reuse of Public Keys Across UTXO and Account-Based Cryptocurrencies. arXiv preprint. (pdf)

Avice, R., Haslhofer, B., Li, Z., & Zhou, J. (2026). Linking cryptoasset attribution tags to knowledge graph entities: An LLM-based approach. Financial Cryptography and Data Security (FC 2026). (pdf)

Saggese, P., Segalla, E., Sigmund, M., Raunig, B., Zangerl, F., & Haslhofer, B. (2024). Assessing the solvency of virtual asset service providers: Are current standards sufficient? Applied Economics. (pdf)

Niedermayer, T., Saggese, P., & Haslhofer, B. (2024). Detecting financial bots on the Ethereum blockchain. Companion Proceedings of the ACM Web Conference 2024. (pdf)

Haslhofer, B., Hanslbauer, C., Fröwis, M., & Goger, T. (2023). Increasing the efficiency of cryptoasset investigations by connecting the cases. APWG Symposium on Electronic Crime Research (eCrime 2023). (pdf)

Stütz, R., Stockinger, J., Haslhofer, B., Moreno-Sanchez, P., & Maffei, M. (2022). Adoption and actual privacy of decentralized CoinJoin implementations in bitcoin. Proceedings of the 4th ACM Conference on Advances in Financial Technologies (AFT 2022). (pdf)

Kappos, G., Yousaf, H., Stütz, R., Rollet, S., Haslhofer, B., & Meiklejohn, S. (2022). How to peel a million: Validating and expanding bitcoin clusters. 31st USENIX security symposium (USENIX security 22). (pdf)

Romiti, M., Victor, F., Moreno-Sanchez, P., Nordholt, P., Haslhofer, B., & Maffei, M. (2021). Cross-layer deanonymization methods in the lightning protocol. Financial cryptography and data security (FC 2021). (pdf)

Stütz, R., Gaži, P., Haslhofer, B., & Illum, J. (2020). Stake shift in major cryptocurrencies: An empirical study. Financial cryptography and data security (FC 2020). (pdf)

Paquet-Clouston, M., Romiti, M., Haslhofer, B., & Charvat, T. (2019). Spams meet Cryptocurrencies: Sextortion in the Bitcoin Ecosystem. Advances in Financial Technologies (AFT 2019). (pdf)

Romiti, M., Judmayer, A., Zamyatin, A., & Haslhofer, B. (2019). A Deep Dive into Bitcoin Mining Pools: An Empirical Analysis of Mining Shares. Workshop on the Economics of Information Security (WEIS 2019). (pdf)

Paquet-Clouston, M., Haslhofer, B., & Dupont, B. (2019). Ransomware payments in the bitcoin ecosystem. Journal of Cybersecurity, 5(1). (pdf)

Filtz, E., Polleres, A., Karl, R., & Haslhofer, B. (2017). Evolution of the Bitcoin Address Graph - An Exploratory Longitudinal Study. International Data Science Conference (DSC 2017). (pdf)

Bernhard Haslhofer, Complexity Science Hub

Rainer Stütz, Complexity Science Hub

Matthias Rella, Iknaio Cryptoasset Analytics GmbH

Michael Fröwis, Iknaio Cryptoasset Analytics GmbH

Thomas Niedermayer, Iknaio Cryptoasset Analytics GmbH