reposiTUm: SoK: Unified Blockchain Data Structure

Record link:

http://hdl.handle.net/20.500.12708/224267
https://doi.org/10.34726/11724

Title:

Citation:

Tovanich, N., Sas, M. I., Lebrun, C., Thadthapong, M., Knottenbelt, W. J., Gaudinat, A., & Mattavelli, M. (2025, October 14). SoK: Unified Blockchain Data Structure [Conference Presentation]. The 7th International Conference on Blockchain Computing and Applications (BCCA 2025), Dubrovnik, Croatia. https://doi.org/10.34726/11724

reposiTUm DOI:

10.34726/11724

Publication Type:

Presentation - Conference Presentation

Language:

English

Authors:

Tovanich, Natkamon
Sas, Madalina I.
Lebrun, Christophe
Thadthapong, Munthitra
Knottenbelt, William J.
Gaudinat, Arnaud
Mattavelli, Marco

Organisational Unit:

E193-07 - Forschungsbereich Visual Analytics

Date (published):

14-Oct-2025

Event name:

The 7th International Conference on Blockchain Computing and Applications (BCCA 2025)

Event date:

14-Oct-2025 - 17-Oct-2025

Event place:

Dubrovnik, Croatia

Keywords:

Public blockchain; Blockchain data; Distributed ledger technology; Standardisation; Data structure

Additional information:

Over the last 15 years, blockchain technologies have evolved into a heterogeneous ecosystem with numerous practical applications. The diversity of blockchain data models ranging from UTxO-based to account-based systems and evolving towards smart contract platforms - has led to fragmentation in how blockchain data is stored, accessed, and analysed. This heterogeneity hinders interoperability, complicates cross-chain analytics, and limits reproducibility in blockchain research. In this paper, we present a comprehensive study of blockchain data unification, covering a wide range of academic and commercial approaches. We examine their underlying data structures and identify key limitations in existing solutions. Building on these insights, we propose a unified data model that abstracts and flattens token transfer data while capturing the semantics of both UTxO and account-based paradigms. We conclude by outlining future research directions to further validate and extend this model across diverse blockchain ecosystems.

Research Areas:

Information Systems Engineering: 100%

Science Branch:

1020 - Informatik: 100%

License:

CC BY-SA 4.0