Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/105549
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dc.contributorDepartment of Computingen_US
dc.creatorLi, Xen_US
dc.creatorChen, Ten_US
dc.creatorLuo, Xen_US
dc.creatorYu, Jen_US
dc.date.accessioned2024-04-15T07:34:59Z-
dc.date.available2024-04-15T07:34:59Z-
dc.identifier.isbn978-3-030-62973-1en_US
dc.identifier.isbn978-3-030-62974-8 (eBook)en_US
dc.identifier.issn0302-9743en_US
dc.identifier.urihttp://hdl.handle.net/10397/105549-
dc.description23rd International Conference, ISC 2020, Bali, Indonesia, December 16-18, 2020en_US
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.rights© Springer Nature Switzerland AG 2020en_US
dc.rightsThis version of the proceeding paper has been accepted for publication, after peer review (when applicable) and is subject to Springer Nature’s AM terms of use(https://www.springernature.com/gp/open-research/policies/accepted-manuscript-terms), but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: http://dx.doi.org/10.1007/978-3-030-62974-8_20.en_US
dc.subjectEthereumen_US
dc.subjectP2P system securityen_US
dc.subjectSystem maintainabilityen_US
dc.titleCharacterizing erasable accounts in ethereumen_US
dc.typeConference Paperen_US
dc.identifier.spage352en_US
dc.identifier.epage371en_US
dc.identifier.volume12472en_US
dc.identifier.doi10.1007/978-3-030-62974-8_20en_US
dcterms.abstractBeing the most popular permissionless blockchain that supports smart contracts, Ethereum allows any user to create accounts on it. However, not all accounts matter. For example, the accounts due to attacks can be removed. In this paper, we conduct the first investigation on erasable accounts that can be removed to save system resources and even users’ money (i.e., ETH or gas). In particular, we propose and develop a novel tool named GLASER, which analyzes the State DataBase of Ethereum to discover five kinds of erasable accounts. The experimental results show that GLASER can accurately reveal 508,482 erasable accounts and these accounts lead to users wasting more than 106 million dollars. GLASER can help stop further economic loss caused by these detected accounts. Moreover, GLASER characterizes the attacks/behaviors related to detected erasable accounts through graph analysis.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationLecture notes in computer science (including subseries Lecture notes in artificial intelligence and lecture notes in bioinformatics), 2020, v. 12472, p. 352-371en_US
dcterms.isPartOfLecture notes in computer science (including subseries Lecture notes in artificial intelligence and lecture notes in bioinformatics)en_US
dcterms.issued2020-
dc.identifier.scopus2-s2.0-85097575856-
dc.relation.conferenceInformation Security Conference [ISC]en_US
dc.identifier.eissn1611-3349en_US
dc.description.validate202402 bcchen_US
dc.description.oaAccepted Manuscripten_US
dc.identifier.FolderNumberCOMP-0429-
dc.description.fundingSourceSelf-fundeden_US
dc.description.pubStatusPublisheden_US
dc.identifier.OPUS48555384-
dc.description.oaCategoryGreen (AAM)en_US
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