Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/28365
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dc.contributor.authorWang, Yileien_UK
dc.contributor.authorBracciali, Andreaen_UK
dc.contributor.authorLi, Taoen_UK
dc.contributor.authorLi, Fengyinen_UK
dc.contributor.authorCui, Xinchunen_UK
dc.contributor.authorZhao, Minghaoen_UK
dc.date.accessioned2018-12-10T15:34:41Z-
dc.date.available2018-12-10T15:34:41Z-
dc.date.issued2019-03-31en_UK
dc.identifier.urihttp://hdl.handle.net/1893/28365-
dc.description.abstractA smart contract enforces specific performance on anonymous users without centralization. It facilitates payment equity in commerce by providing irreversible transactions. Smart contracts are also used for illegal activities such as money laundering and ransomware. Such contracts include criminal smart contracts (CSCs), proposed in CCS’16, that can be efficiently implemented in existing scripting languages. This aggravates concerns about the dangers of CSCs. However, PublicLeaks, a CSC for leaking private data, is conditionally implemented as it is influenced by various factors. For example, PublicLeaks does not necessarily reach a desirable terminal state for a criminal leaking private information, and other possible terminal states may invalidate the CSC. In this study, we propose a CSC based on PublicLeaks by formulating random factors such as the donation ratio. Our contract forks into five terminal states, including a unique one in PublicLeaks due to randomness. We simulated the maximal probabilities of these terminal states and found that the desirable terminal state in PublicLeaks is reachable with low probabilities (lower than 25%). The terminal state where the criminal fails to leak private information is attained with relatively high probabilities (over 65%). Therefore, our simulations show that CSCs are not always as powerful as expected, and the risk posed by them can be mitigated.en_UK
dc.language.isoenen_UK
dc.publisherElsevier BVen_UK
dc.relationWang Y, Bracciali A, Li T, Li F, Cui X & Zhao M (2019) Randomness invalidates criminal smart contracts. Information Sciences, 477, pp. 291-301. https://doi.org/10.1016/j.ins.2018.10.057en_UK
dc.rightsThis item has been embargoed for a period. During the embargo please use the Request a Copy feature at the foot of the Repository record to request a copy directly from the author. You can only request a copy if you wish to use this work for your own research or private study. Accepted refereed manuscript of: Wang Y, Bracciali A, Li T, Li F, Cui X & Zhao M (2019) Randomness invalidates criminal smart contracts. Information Sciences, 477, pp. 291-301. DOI: https://doi.org/10.1016/j.ins.2018.10.057 © 2018, Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/en_UK
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/en_UK
dc.subjectControl and Systems Engineeringen_UK
dc.subjectTheoretical Computer Scienceen_UK
dc.subjectSoftwareen_UK
dc.subjectInformation Systems and Managementen_UK
dc.subjectArtificial Intelligenceen_UK
dc.subjectComputer Science Applicationsen_UK
dc.titleRandomness invalidates criminal smart contractsen_UK
dc.typeJournal Articleen_UK
dc.rights.embargodate2019-10-31en_UK
dc.rights.embargoreason[elsarticle-template.pdf] Publisher requires embargo of 12 months after formal publication.en_UK
dc.identifier.doi10.1016/j.ins.2018.10.057en_UK
dc.citation.jtitleInformation Sciencesen_UK
dc.citation.issn0020-0255en_UK
dc.citation.volume477en_UK
dc.citation.spage291en_UK
dc.citation.epage301en_UK
dc.citation.publicationstatusPublisheden_UK
dc.citation.peerreviewedRefereeden_UK
dc.type.statusAM - Accepted Manuscripten_UK
dc.contributor.funderNatural Science Foundation of Shandong Provinceen_UK
dc.contributor.funderNatural Science Foundation of Shandong Provinceen_UK
dc.author.emailandrea.bracciali@stir.ac.uken_UK
dc.citation.date30/10/2018en_UK
dc.contributor.affiliationQufu Normal Universityen_UK
dc.contributor.affiliationComputing Scienceen_UK
dc.contributor.affiliationQufu Normal Universityen_UK
dc.contributor.affiliationQufu Normal Universityen_UK
dc.contributor.affiliationQufu Normal Universityen_UK
dc.contributor.affiliationTsinghua Universityen_UK
dc.identifier.wtid1070252en_UK
dc.contributor.orcid0000-0002-1602-3720en_UK
dc.contributor.orcid0000-0003-1451-9260en_UK
dc.date.accepted2018-10-28en_UK
dcterms.dateAccepted2018-10-28en_UK
dc.date.filedepositdate2018-12-07en_UK
rioxxterms.apcnot requireden_UK
rioxxterms.typeJournal Article/Reviewen_UK
rioxxterms.versionAMen_UK
local.rioxx.authorWang, Yilei|0000-0002-1602-3720en_UK
local.rioxx.authorBracciali, Andrea|0000-0003-1451-9260en_UK
local.rioxx.authorLi, Tao|en_UK
local.rioxx.authorLi, Fengyin|en_UK
local.rioxx.authorCui, Xinchun|en_UK
local.rioxx.authorZhao, Minghao|en_UK
local.rioxx.projectZR2017MF010|Natural Science Foundation of Shandong Province|en_UK
local.rioxx.projectZR2017MF062|Natural Science Foundation of Shandong Province|en_UK
local.rioxx.freetoreaddate2019-10-31en_UK
local.rioxx.licencehttp://www.rioxx.net/licenses/under-embargo-all-rights-reserved||2019-10-30en_UK
local.rioxx.licencehttp://creativecommons.org/licenses/by-nc-nd/4.0/|2019-10-31|en_UK
local.rioxx.filenameelsarticle-template.pdfen_UK
local.rioxx.filecount1en_UK
local.rioxx.source0020-0255en_UK
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