Secure information sharing between heterogeneous embedded devices

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

21 Citations (Scopus)

Abstract

Smart spaces are dynamic environments for sharing information e.g. in personal, building, or public networks. Key challenges for smart spaces include security and interoperability between heterogeneous devices, from high-end PCs to embedded gadgets and sensors. We propose a novel security architecture, which enables heterogeneous devices to share data in controlled manner. Centralized information brokering device is used to measure security level of published information. These measurements are then used to authorize information access. Hence, the architecture enables devices to share information with the same security level even when these devices do not have interoperable security protocols. We propose policy configuration and deployment models, which are feasible and usable with embedded devices. We also describe our practical experiences from implementing the proposed security solution for smart spaces.
Original languageEnglish
Title of host publicationECSA '10 Proceedings of the Fourth European Conference on Software Architecture
Subtitle of host publicationCompanion Volume
PublisherAssociation for Computing Machinery ACM
Pages205-212
ISBN (Print)978-1-4503-0179-4
DOIs
Publication statusPublished - 2010
MoE publication typeA4 Article in a conference publication

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Interoperability
Sensors

Keywords

  • Architecture
  • communication security
  • interoperability
  • access control
  • smart space

Cite this

Suomalainen, J., Hyttinen, P., & Tarvainen, P. (2010). Secure information sharing between heterogeneous embedded devices. In ECSA '10 Proceedings of the Fourth European Conference on Software Architecture: Companion Volume (pp. 205-212). Association for Computing Machinery ACM. https://doi.org/10.1145/1842752.1842793
Suomalainen, Jani ; Hyttinen, Pasi ; Tarvainen, Pentti. / Secure information sharing between heterogeneous embedded devices. ECSA '10 Proceedings of the Fourth European Conference on Software Architecture: Companion Volume. Association for Computing Machinery ACM, 2010. pp. 205-212
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Suomalainen, J, Hyttinen, P & Tarvainen, P 2010, Secure information sharing between heterogeneous embedded devices. in ECSA '10 Proceedings of the Fourth European Conference on Software Architecture: Companion Volume. Association for Computing Machinery ACM, pp. 205-212. https://doi.org/10.1145/1842752.1842793

Secure information sharing between heterogeneous embedded devices. / Suomalainen, Jani; Hyttinen, Pasi; Tarvainen, Pentti.

ECSA '10 Proceedings of the Fourth European Conference on Software Architecture: Companion Volume. Association for Computing Machinery ACM, 2010. p. 205-212.

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

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AB - Smart spaces are dynamic environments for sharing information e.g. in personal, building, or public networks. Key challenges for smart spaces include security and interoperability between heterogeneous devices, from high-end PCs to embedded gadgets and sensors. We propose a novel security architecture, which enables heterogeneous devices to share data in controlled manner. Centralized information brokering device is used to measure security level of published information. These measurements are then used to authorize information access. Hence, the architecture enables devices to share information with the same security level even when these devices do not have interoperable security protocols. We propose policy configuration and deployment models, which are feasible and usable with embedded devices. We also describe our practical experiences from implementing the proposed security solution for smart spaces.

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Suomalainen J, Hyttinen P, Tarvainen P. Secure information sharing between heterogeneous embedded devices. In ECSA '10 Proceedings of the Fourth European Conference on Software Architecture: Companion Volume. Association for Computing Machinery ACM. 2010. p. 205-212 https://doi.org/10.1145/1842752.1842793