Blockchain Layer Zero: Characterizing the Bitcoin Network Through Measurements, Models, and Simulations
Research output: Contribution to book/Conference proceedings/Anthology/Report › Conference contribution › Contributed › peer-review
Contributors
Abstract
In recent years, research has shown the networking layer's significant influence on the scalability, security, and privacy of blockchain systems. Such large-scale networks however exhibit a degree of complexity that demands model-based simulations as real-world experiments are often not possible. In this work, we methodically characterize blockchain networks by reference to the paradigmatic Bitcoin peer-to-peer network, explore the state-of-the-art protocols, and emphasize this key design space. To this end, we conducted a longitudinal measurement study on the Bitcoin network, from which we extract a comprehensive network model and implement it as part of the bns network simulation framework. We validate the model in comparison to real-world measurements as well as to results from related work. Moreover, we experimentally show how network utilization and miners' geographical location impact the block propagation characteristics.
Details
| Original language | English |
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| Title of host publication | Proceedings of the 46th IEEE International Conference on Local Computer Networks (LCN~'21) |
| Editors | Lyes Khoukhi, Sharief Oteafy, Eyuphan Bulut |
| Pages | 9-16 |
| Number of pages | 8 |
| ISBN (electronic) | 9780738124766 |
| Publication status | Published - Oct 2021 |
| Peer-reviewed | Yes |
| Externally published | Yes |
External IDs
| Scopus | 85118424378 |
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