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Blockchain Technology

The blossom of Blockchains and Distributed Ledger Technoligies (DLT) in general have generated novel opportunities in various technological and economic fields. New paradigms emerge from their unique characteristics such as distributed consensus, byzantine fault tolerance and immutability. Hereby, DLTs facilitate eliminating trusted intermediaries by distributing trust among participants. As a result, not only digital (crypto-) currencies have emerged, but more complex use cases such as identity, asset and supply chain management have gained attention. SNET is working on these cutting edge topics from a technologic and service perspective. It includes applications on public as well as permissioned ledgers, analysis of DLT structures and distributions in token networks. Furthermore, research focuses on enhanced protocols and mechanisms in applications and DLTs alike.

Publications

Victor, F. (2020). Address Clustering Heuristics for Ethereum. Financial Cryptography and Data Security. Springer International Publishing, 617–633.


Müller, M. and Ostern, N. and Rosemann, M. (2020). Silver Bullet for all Trust Issues? Blockchain-based Trust Patterns for Collaborative Business Processes. 18th Int. Conference on Business Process Management (BPM 2020)


Müller, M. and S. Rodriguez Garzon. S. and M. Rosemann, M. and Küpper, A. (2020). Towards Trust-aware Collaborative Business Processes: An Approach to Identify Uncertainty. IEEE Internet Computing, 1-1.


Müller, M. and Ostern, N. and Rodriguez Garzon, S. and Küpper, A. (2021). Trust models for Next-generation Blockchain Ecosystems. EAI/Springer.


Victor, F. and Ruppel, P. and Kuepper, A. (2021). A Taxonomy for Distributed Ledger Analytics. IEEE Computer. IEEE, 30-38.


Victor, F. and Weintraud, A. M. (2021). Detecting and Quantifying Wash Trading on Decentralized Cryptocurrency Exchanges. Proceedings of The Web Conference 2021


Romiti, M. and Victor, F. and Moreno-Sanchez, P. and Nordholt, P. S. and Haslhofer, B. and Maffei, M. (2021). Cross-Layer Deanonymization Methods in the Lightning Protocol. Financial Cryptography and Data Security. Springer International Publishing.


Müller, M. and Ostern, N. and Koljada, D. and Grunert, K. and Rosemann, M. and Küpper, A. (2021). Trust Mining: Analyzing Trust in Collaborative Business Processes. IEEE Access, 1-1.


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