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Conference paper ยท Book chapter

SoK Lending Pools in Decentralized Finance

In Lecture Notes in Computer Science โ€” 2021, pp. 553-578
From

University of Cagliari1

Department of Applied Mathematics and Computer Science, Technical University of Denmark2

Formal Methods, Department of Applied Mathematics and Computer Science, Technical University of Denmark3

Lending pools are decentralized applications which allow mutually untrusted users to lend and borrow crypto-assets. These applications feature complex, highly parametric incentive mechanisms to equilibrate the loan market. This complexity makes the behaviour of lending pools difficult to understand and to predict: indeed, ineffective incentives and attacks could potentially lead to emergent unwanted behaviours.

Reasoning about lending pools is made even harder by the lack of executable models of their behaviour: to precisely understand how users interact with lending pools, eventually one has to inspect their implementations, where the incentive mechanisms are intertwined with low-level implementation details.

Further, the variety of existing implementations makes it difficult to distill the common aspects of lending pools. We systematize the existing knowledge about lending pools, leveraging a new formal model of interactions with users, which reflects the archetypal features of mainstream implementations.

This enables us to prove some general properties of lending pools, and to precisely describe vulnerabilities and attacks. We also discuss the role of lending pools in the broader context of decentralized finance and identify relevant research challenges.

Language: English
Publisher: Springer
Year: 2021
Pages: 553-578
Proceedings: 2<sup>nd</sup> Workshop on Coordination of Decentralized Finance
Series: Lecture Notes in Computer Science (including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ISBN: 3662639572 , 3662639580 , 9783662639573 and 9783662639580
ISSN: 03029743 and 16113349
Types: Conference paper and Book chapter
DOI: 10.1007/978-3-662-63958-0_40
ORCIDs: Chiang, James Hsin yu and Lafuente, Alberto Lluch

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