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Privacy and trust in cloud-based marketplaces for AI and data resources
Blekinge Tekniska Högskola, Fakulteten för datavetenskaper, Institutionen för datalogi och datorsystemteknik.
Blekinge Tekniska Högskola, Fakulteten för datavetenskaper, Institutionen för datalogi och datorsystemteknik.ORCID-id: 0000-0003-4814-4428
2017 (engelsk)Inngår i: IFIP Advances in Information and Communication Technology, Springer New York LLC , 2017, Vol. 505, s. 223-225Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

The processing of the huge amounts of information from the Internet of Things (IoT) has become challenging. Artificial Intelligence (AI) techniques have been developed to handle this task efficiently. However, they require annotated data sets for training, while manual preprocessing of the data sets is costly. The H2020 project “Bonseyes” has suggested a “Market Place for AI”, where the stakeholders can engage trustfully in business around AI resources and data sets. The MP permits trading of resources that have high privacy requirements (e.g. data sets containing patient medical information) as well as ones with low requirements (e.g. fuel consumption of cars) for the sake of its generality. In this abstract we review trust and privacy definitions and provide a first requirement analysis for them with regards to Cloud-based Market Places (CMPs). The comparison of definitions and requirements allows for the identification of the research gap that will be addressed by the main authors PhD project. © IFIP International Federation for Information Processing 2017.

sted, utgiver, år, opplag, sider
Springer New York LLC , 2017. Vol. 505, s. 223-225
Serie
IFIP Advances in Information and Communication Technology, ISSN 1868-4238, E-ISSN 1868-422X ; 505
Emneord [en]
AI, Cloud, IoT, Marketplace, Privacy, Trust, Artificial intelligence, Clouds, Commerce, Internet of things, Trusted computing, Data resources, Internet of thing (IOT), Medical information, Privacy and trusts, Privacy requirements, Requirement analysis, Data privacy
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Identifikatorer
URN: urn:nbn:se:bth-14841DOI: 10.1007/978-3-319-59171-1ISI: 000432194900017Scopus ID: 2-s2.0-85020537534ISBN: 9783319591704 (tryckt)OAI: oai:DiVA.org:bth-14841DiVA, id: diva2:1118957
Konferanse
11th IFIP WG 11.11 International Conference on Trust Management, IFIPTM,Gothenburg
Tilgjengelig fra: 2017-07-03 Laget: 2017-07-03 Sist oppdatert: 2018-05-31bibliografisk kontrollert

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Totalt: 507 treff
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