Towards trustworthy Artificial Intelligence: Security risk assessment methodology for Artificial Intelligence systems

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dc.contributor.authorIturbe, Eider
dc.contributor.authorRios, Erkuden
dc.contributor.authorToledo, Nerea
dc.contributor.institutionCIBERSEC&DLT
dc.date.accessioned2024-09-10T11:00:03Z
dc.date.available2024-09-10T11:00:03Z
dc.date.issued2023
dc.descriptionPublisher Copyright: © 2023 IEEE.
dc.description.abstractThe digitalization and smartization of modern digital systems include the implementation and integration of emerging innovative technologies, such as Artificial Intelligence. By incorporating new technologies, the surface attack of the system also expands, and specialized cybersecurity mechanisms and tools are required to counter the potential new threats. This paper introduces a holistic security risk assessment methodology that aims to assist Artificial Intelligence system stakeholders guarantee the correct design and implementation of technical robustness in Artificial Intelligence systems. The methodology is designed to facilitate the automation of the security risk assessment of Artificial Intelligence components together with the rest of the system components. Supporting the methodology, the solution to the automation of Artificial Intelligence risk assessment is also proposed. Both the methodology and the tool will be validated when assessing and treating risks on Artificial Intelligence-based cybersecurity solutions integrated in modern digital industrial systems that leverage emerging technologies such as cloud continuum including Software-defined networking (SDN).en
dc.description.statusPeer reviewed
dc.format.extent7
dc.identifier.citationIturbe , E , Rios , E & Toledo , N 2023 , Towards trustworthy Artificial Intelligence : Security risk assessment methodology for Artificial Intelligence systems . in Proceedings - 2023 IEEE International Conference on Cloud Computing Technology and Science, CloudCom 2023 . Proceedings of the International Conference on Cloud Computing Technology and Science, CloudCom , IEEE Computer Society , pp. 291-297 , 14th IEEE International Conference on Cloud Computing Technology and Science, CloudCom 2023 , Naples , Italy , 4/12/23 . https://doi.org/10.1109/CloudCom59040.2023.00054
dc.identifier.citationconference
dc.identifier.doi10.1109/CloudCom59040.2023.00054
dc.identifier.isbn9798350339826
dc.identifier.issn2330-2194
dc.identifier.urihttps://hdl.handle.net/11556/5006
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=85189630361&partnerID=8YFLogxK
dc.language.isoeng
dc.publisherIEEE Computer Society
dc.relation.ispartofProceedings - 2023 IEEE International Conference on Cloud Computing Technology and Science, CloudCom 2023
dc.relation.ispartofseriesProceedings of the International Conference on Cloud Computing Technology and Science, CloudCom
dc.rightsinfo:eu-repo/semantics/restrictedAccess
dc.subject.keywordsArtificial Intelligence
dc.subject.keywordsCyber Security
dc.subject.keywordsRisk Assessment
dc.subject.keywordsTechnical robustness
dc.subject.keywordsTrustworthy
dc.subject.keywordsComputational Theory and Mathematics
dc.subject.keywordsComputer Networks and Communications
dc.subject.keywordsSoftware
dc.subject.keywordsTheoretical Computer Science
dc.titleTowards trustworthy Artificial Intelligence: Security risk assessment methodology for Artificial Intelligence systemsen
dc.typeconference output
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