Cited by 130IoT and Edge/Fog ComputingInternet of Things and AIBlockchain Technology Applications and Security

A security-and quality-aware system architecture for Internet of Things

Sicari, Sabrina, Cappiello, Cinzia, De Pellegrini, Francesco, Miorandi, Daniele, Coen-Porisini, Alberto·2016·Information Systems Frontiers

Integrity signals

Registry

Crossref · 10.1007/s10796-014-9538-x

Cites

34 of 34 references verified0 citation errors · 0 not checkable

Statistics

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Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • High-level data security positively contributes to data accuracy, precision, and timeliness.

    “On the other hand, high-level data security positively contributes to data accuracy (the degree of similarity of a measured quantity to its actual value), precision (the degree to which further calculations return the same or similar results), and timeliness (the temporal validity of data).”
  • Only three papers study the tradeoff between data quality and security.

    “Only three papers [38,39,51] study the tradeoff between data quality and security.”
  • High-security scores may lead to low-level data completeness.

    “The evaluation of the proposed architecture reveals that high-security scores may lead to low-level data completeness (the number of collected values over a given time interval divided by the number of expected values).”

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Authors
Sicari, S., Cappiello, C., De Pellegrini, F., Miorandi, D., & Coen-Porisini, A.
Affiliations
  • University of Insubria (IT)
  • Politecnico di Milano (IT)
  • U-Hopper (Italy) (IT)
Corresponding author
Cappiello, Cinzia
Venue
Information Systems Frontiers
Published
2014-11-04
Volume
18
Issue
4
Pages
665-677
ISSN
  • 1387-3326 (ISSN-L)
  • 1572-9419
OpenAlex
W2139852291
Cited by
130
References
34
Citations by year
2026: 1 · 2025: 10 · 2024: 9 · 2023: 16 · 2022: 8 · 2021: 16 · 2020: 10 · 2019: 20 · 2018: 16 · 2017: 8 · 2016: 9 · 2015: 6 · 2014: 1
FWCI
9.20
Type
journal article
Language
en
Open access
closed
Locations
  • Information Systems Frontiers (publishedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
  • IrInSubria (University of Insubria) (submittedVersion)
  • Virtual Community of Pathological Anatomy (University of Castilla La Mancha) (submittedVersion)
Topics
  • Physical Sciences › Computer Science › Computer Networks and Communications › IoT and Edge/Fog Computing
  • Physical Sciences › Computer Science › Information Systems › Internet of Things and AI
  • Physical Sciences › Computer Science › Information Systems › Blockchain Technology Applications and Security
Keywords
Internet of Things, IoT architecture, security (computing), privacy, data quality, trustworthiness, data heterogeneity, robustness, reliability, IoT services

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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

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