Problem domain analysis of IoT-driven secure data markets

Máté Horváth, L. Buttyán

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

The Internet of Things (IoT) provides us with a vast amount of new data day by day, however, currently, most of these are only stored without utilizing their full potential. The attractive concept of data markets can change this situation in the near future and thus we initiate the study of security aspects of such systems. In this work, as a first step, we analyse the data markets based on the possible security requirements of the different participants. We identify more than 30 possible scenarios and connect these to the relevant areas of cryptography. Our analysis also highlights several open problems motivating further research on certain cryptographic primitives.

Original languageEnglish
Title of host publicationSecurity in Computer and Information Sciences - First International ISCIS Security Workshop 2018, Euro-CYBERSEC 2018, Revised Selected Papers
PublisherSpringer Verlag
Pages57-67
Number of pages11
ISBN (Print)9783319951881
DOIs
Publication statusPublished - Jan 1 2018
Event1st International Symposia on Computer and Information Sciences, ISCIS 2018 - London, United Kingdom
Duration: Feb 26 2018Feb 27 2018

Publication series

NameCommunications in Computer and Information Science
Volume821
ISSN (Print)1865-0929

Other

Other1st International Symposia on Computer and Information Sciences, ISCIS 2018
CountryUnited Kingdom
CityLondon
Period2/26/182/27/18

Keywords

  • Cybersecurity
  • Data markets
  • IoT
  • Market mechanisms

ASJC Scopus subject areas

  • Computer Science(all)
  • Mathematics(all)

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  • Cite this

    Horváth, M., & Buttyán, L. (2018). Problem domain analysis of IoT-driven secure data markets. In Security in Computer and Information Sciences - First International ISCIS Security Workshop 2018, Euro-CYBERSEC 2018, Revised Selected Papers (pp. 57-67). (Communications in Computer and Information Science; Vol. 821). Springer Verlag. https://doi.org/10.1007/978-3-319-95189-8_6