Certifying Findel derivatives for blockchain

Arusoaie, Andrei

doi:10.1016/j.jlamp.2021.100665

Cited by 11 publications

(13 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Domain-specific languages with formal semantics (e.g. [6,9,20]) provide suitable specification means for such abstractions. Moreover, they fulfill two purposes: firstly, they enable formal reasoning and security proofs.…”

Section: Agent Strategiesmentioning

confidence: 99%

Towards a Theory of Decentralized Finance

Bartoletti

Chiang

Lafuente

2021

Lecture Notes in Computer Science

View full text Add to dashboard Cite

General rightsCopyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights. Users may download and print one copy of any publication from the public portal for the purpose of private study or research.  You may not further distribute the material or use it for any profit-making activity or commercial gain  You may freely distribute the URL identifying the publication in the public portal If you believe that this document breaches copyright please contact us providing details, and we will remove access to the work immediately and investigate your claim.

show abstract

Section: Agent Strategiesmentioning

confidence: 99%

Towards a Theory of Decentralized Finance

Bartoletti

Chiang

Lafuente

2021

Lecture Notes in Computer Science

View full text Add to dashboard Cite

show abstract

“…In this perspective, it would be possible to extend the scope of analysis techniques to attacks that exploit the interplay between different archetypes, which so far have been found manually by adversaries, as documented in [51]. A complementary line of research is the design of domainspecific languages for DeFi contracts, in the spirit of the works [34,37,43,52] on languages for financial derivatives. By leveraging primitives specifically tailored to DeFi, these languages could simplify the task of analysing DeFi contracts: actually, this task is overwhelmingly complex for current LP implementations, which amount to thousands of lines of Solidity code.…”

Section: Differences Between Our Model and Lp Implementationsmentioning

confidence: 99%

SoK: Lending Pools in Decentralized Finance

Bartoletti¹,

Chiang²,

Lafuente³

2020

Preprint

View full text Add to dashboard Cite

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, such as the correct handling of funds, and to precisely describe vulnerabilities and attacks. We also discuss the role of lending pools in the broader context of decentralized finance.

show abstract

“…Coq, Isabelle/HOL, and Agda theorem provers are used to develop formal semantics of low- [16,38,51,88,106,156], intermediate- [39,128,178], and high-level [113,214] programming languages for smart contracts, including DSLs for financial contracts [23,122]. However, Li et al [128] suggest that, among them, intermediate-level languages are the most suitable for formal verification.…”

Section: Theorem Provingmentioning

confidence: 99%

“…Besides formal semantics, other guarantees are derived from linear resource types in Move [43] and Flint [176], explicit state changes of Bamboo [2] and Obsidian [2, 63], functional programming principles and a restricted instruction set in Scilla [179], user-centered design as in Obsidian [63], etc. We also noticed an increasing number of domain-specific languages, for example, Marlowe [122,123] and Findel [23,42], which should simplify the development and verification of financial smart contracts.…”

Section: Future Directionsmentioning

confidence: 99%

“…The authors of [23,122] define a set of properties for financial legal smart contracts, such as derivatives. The authors of Marlowe [122] verify that all smart contracts written in this language conserve funds, i.e., the money that comes in plus the money in the contract before the transaction must be equal to the money that comes out plus the contract after the transaction, except in the case of an error.…”

Section: Financementioning

confidence: 99%

See 1 more Smart Citation

A Survey of Smart Contract Formal Specification and Verification

Tolmach

Lin

et al. 2020

Preprint

View full text Add to dashboard Cite

A smart contract is a computer program which allows users to define and execute transactions automatically on top of the blockchain platform. Given the significance of smart contracts in supporting important activities across industry sectors including supply chain, finance, legal and medical services, there is a strong demand for verification and validation techniques. Yet, the vast majority of smart contracts lack any kind of formal specification, which is essential for establishing their correctness. In this survey, we investigate formal models and specifications of smart contracts presented in the literature and present a systematic overview in order to understand the common trends. We also discuss the current approaches used in verifying such property specifications and identify gaps with the hope to recognize promising directions for future work.

show abstract

Certifying Findel derivatives for blockchain

Cited by 11 publications

References 12 publications

Towards a Theory of Decentralized Finance

Towards a Theory of Decentralized Finance

SoK: Lending Pools in Decentralized Finance

A Survey of Smart Contract Formal Specification and Verification

Contact Info

Product

Resources

About