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Security aspects of cryptocurrency wallets: a systematic literature review
Umeå University, Faculty of Science and Technology, Department of Computing Science.
Technical University of Munich, Germany.
Umeå University, Faculty of Science and Technology, Department of Computing Science.ORCID iD: 0000-0003-1383-0372
2023 (English)In: ACM Computing Surveys, ISSN 0360-0300, E-ISSN 1557-7341, Vol. 56, no 1, article id 4Article, review/survey (Refereed) Published
Abstract [en]

Cryptocurrencies are gaining prominence among individuals and companies alike, resulting in the growing adoption of so-called cryptocurrency wallet applications, as these simplify transactions. These wallets are available in a myriad of different forms and specifications. All of them are susceptible to various ways the attacker can exploit the vulnerabilities and steal money from victims. Cryptocurrency wallets create a unique field as they combine features of password managers, banking applications, and the need to keep their users and their transactions anonymous. We collect the findings from previous literature to provide an overview of the different attack surfaces, possible countermeasures, and further research. Existing literature focused on one of the features mentioned before, while we considered all of them. Our systematic study shows that there is a considerable variety of attack vectors, which we have divided into six subcategories, (i) Memory and Storage, (ii) Operating Systems, (iii) Software Layer, (iv) Network Layer, (v) Blockchain Protocol, and (vi) Others. We have found a large gap between the possible countermeasures and their actual adoption. Therefore, we provide a list of possible directions for future research to tackle this gap.

Place, publisher, year, edition, pages
Association for Computing Machinery (ACM), 2023. Vol. 56, no 1, article id 4
Keywords [en]
Blockchain, bitcoin, cryptocurrency, vulnerability, wallet
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:umu:diva-215357DOI: 10.1145/3596906ISI: 001076932100004Scopus ID: 2-s2.0-85173010471OAI: oai:DiVA.org:umu-215357DiVA, id: diva2:1808765
Funder
Wallenberg AI, Autonomous Systems and Software Program (WASP)Knut and Alice Wallenberg FoundationAvailable from: 2023-11-01 Created: 2023-11-01 Last updated: 2024-08-28Bibliographically approved

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Houy, SabineBartel, Alexandre

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CiteExportLink to record
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  • apa
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