Enhancing Privacy of Information Brokering in Smart Districts by Adaptive Pseudonymization

Research output: Contribution to journalArticleScientificpeer-review

4 Citations (Scopus)

Abstract

District-wide real-time information sharing provides new opportunities to optimize infrastructures and, for example, the energy consumption of smart cities. However, information collection introduces new privacy threats that must be addressed. Existing anonymization solutions are not suffcient for the brokering of streaming real-time measurements. Advanced adversaries may utilize information available from different sources and correlation analyses to reveal a measurement's actual source. We analyze security and privacy requirements and design a privacy-enhancing architecture for an information brokering platform. We propose an adaptive pseudonymization framework to make privacy attacks harder and to gain real-time awareness of the robustness of the privacy protection of platforms. Finally, we present an initial evaluation of the proposal using real-world energy consumption measurements.
Original languageEnglish
Pages (from-to)914-927
JournalIEEE Access
Volume4
DOIs
Publication statusPublished - 2016
MoE publication typeA1 Journal article-refereed

Fingerprint

Energy utilization
Time measurement
Smart city

Keywords

  • access control
  • anonymity
  • authentication
  • information sharing
  • privacy
  • real-time
  • security
  • smart city

Cite this

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title = "Enhancing Privacy of Information Brokering in Smart Districts by Adaptive Pseudonymization",
abstract = "District-wide real-time information sharing provides new opportunities to optimize infrastructures and, for example, the energy consumption of smart cities. However, information collection introduces new privacy threats that must be addressed. Existing anonymization solutions are not suffcient for the brokering of streaming real-time measurements. Advanced adversaries may utilize information available from different sources and correlation analyses to reveal a measurement's actual source. We analyze security and privacy requirements and design a privacy-enhancing architecture for an information brokering platform. We propose an adaptive pseudonymization framework to make privacy attacks harder and to gain real-time awareness of the robustness of the privacy protection of platforms. Finally, we present an initial evaluation of the proposal using real-world energy consumption measurements.",
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author = "Jani Suomalainen and Jukka Julku",
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Enhancing Privacy of Information Brokering in Smart Districts by Adaptive Pseudonymization. / Suomalainen, Jani; Julku, Jukka.

In: IEEE Access, Vol. 4, 2016, p. 914-927.

Research output: Contribution to journalArticleScientificpeer-review

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