SLA- Gα: The Next Generation of SLAs for IoT

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

There is an increasing expectation that SLAs become fully automated for IoT environments. This automation may involve monitoring of adherence to an SLA, discretionary encryption of data, enforcement of SLAs and compliance with legal requirements such as the General Data Protection Regulation (GDPR) or comparable regulations. Furthermore, such SLAs need to be customised to a specific IoT vertical, IoT use case or IoT scenario. However, designing such customised IoT scenario-specific SLAs on the fly is very challenging, nuanced, complex and requires domain-specific knowledge. To address such challenges, we propose a platform agnostic, trustworthy, reliable, secure and GDPR compliant end-to-end automated on the fly SLA generation platform. The architecture follows the GDPR Privacy by Design approach, and we demonstrate how this framework can be used for processing of data irrespective from where the data generated, and the SLA attached to it.
Original languageEnglish
Title of host publication2022 IEEE 8th World Forum on Internet of Things (WF-IoT)
PublisherIEEE
ISBN (Electronic)978-1-6654-9153-2
ISBN (Print)978-1-6654-9154-9
DOIs
Publication statusPublished (in print/issue) - 22 Jun 2023
Event2022 IEEE 8th World Forum on Internet of Things (WF-IoT) - Yokohama, Japan
Duration: 26 Oct 202211 Nov 2022
Conference number: 2022
https://doi.org/10.1109/WF-IoT54382.2022

Publication series

Name2022 IEEE 8th World Forum on Internet of Things, WF-IoT 2022

Conference

Conference2022 IEEE 8th World Forum on Internet of Things (WF-IoT)
Abbreviated titleWF-IoT
Country/TerritoryJapan
CityYokohama
Period26/10/2211/11/22
Internet address

Bibliographical note

Publisher Copyright:
© 2022 IEEE.

Keywords

  • Service Level Agreements (SLAs)
  • Internet of Things (IoT)
  • Privacy
  • Trustworthiness
  • Automation
  • Deep Learning
  • Law Systems engineering and theory
  • Regulation
  • Reliability
  • General Data Protection Regulation

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