Semi-real-time hash comparison for detecting intrusions using blockchain

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dc.contributor.authorSerrano, Oscar Lage
dc.contributor.authorde Diego de Diego, Santiago
dc.contributor.authorSeco, Iñaki
dc.contributor.authorLarrucea, Xabier
dc.contributor.editorAttiogbé, Christian
dc.contributor.editorFerrarotti, Flavio
dc.contributor.editorMaabout, Sofian
dc.contributor.institutionCIBERSEC&DLT
dc.contributor.institutionTecnalia Research & Innovation
dc.date.accessioned2024-07-24T11:46:11Z
dc.date.available2024-07-24T11:46:11Z
dc.date.issued2019
dc.descriptionPublisher Copyright: © Springer Nature Switzerland AG 2019.
dc.description.abstractThis paper proposes an extensible Blockchain-Based Industrial Anomaly Detection (BIAD) system for industrial scenarios. This approach is to use Blockchain to prevent a set of attacks at semi-real time by comparing logs. Besides, this solution regards attacker firmware modifications following the same comparison principle within the same infrastructure.en
dc.description.statusPeer reviewed
dc.format.extent15
dc.identifier.citationSerrano , O L , de Diego de Diego , S , Seco , I & Larrucea , X 2019 , Semi-real-time hash comparison for detecting intrusions using blockchain . in C Attiogbé , F Ferrarotti & S Maabout (eds) , New Trends in Model and Data Engineering MEDI 2019 International Workshops DETECT, DSSGA, TRIDENT 2019 Proceedings . Communications in Computer and Information Science , vol. 1085 , Springer Science and Business Media Deutschland GmbH , pp. 165-179 , 9th International Conference on New Trends in Model and Data Engineering, MEDI 2019 , Toulouse , France , 28/10/19 . https://doi.org/10.1007/978-3-030-32213-7_13
dc.identifier.citationconference
dc.identifier.doi10.1007/978-3-030-32213-7_13
dc.identifier.isbn9783030322120
dc.identifier.issn1865-0929
dc.identifier.urihttps://hdl.handle.net/11556/1535
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=85075665884&partnerID=8YFLogxK
dc.language.isoeng
dc.publisherSpringer Science and Business Media Deutschland GmbH
dc.relation.ispartofNew Trends in Model and Data Engineering MEDI 2019 International Workshops DETECT, DSSGA, TRIDENT 2019 Proceedings
dc.relation.ispartofseriesCommunications in Computer and Information Science
dc.rightsinfo:eu-repo/semantics/restrictedAccess
dc.subject.keywordsBlockchain
dc.subject.keywordsCritical infrastructure
dc.subject.keywordsIndustrial systems
dc.subject.keywordsIntrusion detection system
dc.subject.keywordsGeneral Computer Science
dc.subject.keywordsGeneral Mathematics
dc.titleSemi-real-time hash comparison for detecting intrusions using blockchainen
dc.typeconference output
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