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DeFi Auditing: Mechanisms, Effectiveness, and User Perceptions
Feng, Ding1; Hitsch, Rupert2; Qin, Kaihua3; Gervais, Arthur4; Wattenhofer, Roger2; Yao, Yaxing5; Wang, Ye1
2024
Conference Name8th Workshop on Advances in Secure Electronic Voting (Voting) / 4th Workshop on Coordination of Decentralized Finance (CoDecFin) / 3rd Workshop on Decentralized Finance (DeFi) / 7th Workshop on Trusted Smart Contracts (WTSC)
Source PublicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume13953 LNCS
Pages320-336
Conference DateMAY 05, 2023
Conference PlaceBol
CountryCROATIA
PublisherSPRINGER-VERLAG BERLINHEIDELBERGER PLATZ 3, D-14197 BERLIN, GERMANY
Abstract

Decentralized Finance (DeFi), a blockchain-based financial ecosystem, suffers from smart contract vulnerabilities that led to a loss exceeding 3.24 billion USD by April 2022 [67]. To address this, blockchain firms audit DeFi applications, a process known as DeFi auditing. Our research aims to comprehend the mechanism and efficacy of DeFi auditing. We discovered its ability to detect vulnerabilities in smart contract logic and interactivity with other DeFi entities, but also noted its limitations in communication, transparency, remedial action implementation, and in preventing certain DeFi attacks. Moreover, our interview study delved into user perceptions of DeFi auditing, unmasking gaps in awareness, usage, and trust, and offering insights to address these issues.

KeywordAuditing Blockchain Decentralized Finance
DOI10.1007/978-3-031-48806-1_21
URLView the original
Indexed ByCPCI-S ; CPCI-SSH
Language英語English
WOS Research AreaBusiness & Economics ; Computer Science ; Public Administration
WOS SubjectBusiness, Finance ; Computer Science, Information Systems ; Computer Science, Interdisciplinary Applications ; Computer Science, Theory & Methods ; Public Administration
WOS IDWOS:001166792400021
Scopus ID2-s2.0-85180556041
Fulltext Access
Citation statistics
Document TypeConference paper
CollectionDEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
Corresponding AuthorWang, Ye
Affiliation1.University of Macau, Macao
2.ETH Zurich, Zurich, Switzerland
3.Imperial College London, London, United Kingdom
4.University College London, London, United Kingdom
5.University of Maryland, Baltimore County, Baltimore, United States
First Author AffilicationUniversity of Macau
Corresponding Author AffilicationUniversity of Macau
Recommended Citation
GB/T 7714
Feng, Ding,Hitsch, Rupert,Qin, Kaihua,et al. DeFi Auditing: Mechanisms, Effectiveness, and User Perceptions[C]:SPRINGER-VERLAG BERLINHEIDELBERGER PLATZ 3, D-14197 BERLIN, GERMANY, 2024, 320-336.
APA Feng, Ding., Hitsch, Rupert., Qin, Kaihua., Gervais, Arthur., Wattenhofer, Roger., Yao, Yaxing., & Wang, Ye (2024). DeFi Auditing: Mechanisms, Effectiveness, and User Perceptions. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 13953 LNCS, 320-336.
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