Blockchain Space Tokenization

Authors Aggelos Kiayias , Elias Koutsoupias , Philip Lazos , Giorgos Panagiotakos



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Author Details

Aggelos Kiayias
  • University of Edinburgh, UK
  • IOG, London, UK
Elias Koutsoupias
  • University of Oxford, UK
Philip Lazos
  • Jump Trading, London, UK
Giorgos Panagiotakos
  • IOG, Athens, Greece

Acknowledgements

We would like to thank the anonymous reviewers for their valuable comments.

Cite AsGet BibTex

Aggelos Kiayias, Elias Koutsoupias, Philip Lazos, and Giorgos Panagiotakos. Blockchain Space Tokenization. In 6th Conference on Advances in Financial Technologies (AFT 2024). Leibniz International Proceedings in Informatics (LIPIcs), Volume 316, pp. 9:1-9:20, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2024)
https://doi.org/10.4230/LIPIcs.AFT.2024.9

Abstract

Handling congestion in blockchain systems is a fundamental problem given that the security and decentralization objectives of such systems lead to designs that compromise on (horizontal) scalability (what sometimes is referred to as the "blockchain trilemma"). Motivated by this, we focus on the question whether it is possible to design a transaction inclusion policy for block producers that facilitates fee and delay predictability while being incentive compatible at the same time. Reconciling these three properties is seemingly paradoxical given that the dominant approach to transaction processing is based on first-price auctions (e.g., as in Bitcoin) or dynamic adjustment of the minimum admissible fee (e.g. as in Ethereum EIP-1559) something that breaks fee predictability. At the same time, in fixed fee mechanisms (e.g., as in Cardano), fees are trivially predictable but are subject to relatively inexpensive bribing or denial of service attacks where transactions may be delayed indefinitely by a well funded attacker, hence breaking delay predictability. In this work, we set out to address this problem by putting forward blockchain space tokenization (BST), namely a new capability of a blockchain system to tokenize its capacity for transactions and allocate it to interested users who are willing to pay ahead of time for the ability to post transactions regularly for a period of time. We analyze our system in the face of worst-case transaction-processing attacks by introducing a security game played between the mempool mechanism and an adversary. Leveraging this framework, we prove that BST offers predictable and asymptotically optimal delays, predictable fees, and is incentive compatible, thus answering the question posed in the affirmative.

Subject Classification

ACM Subject Classification
  • Security and privacy → Distributed systems security
Keywords
  • Blockchain protocols
  • Predictable Service
  • Transaction Fees

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