6381531
doi
10.5281/zenodo.6381531
oai:zenodo.org:6381531
user-eu
Vlachos, Evangelos
Athena Research Center, Greece
Berberidis, Kostas
University of Patras, Athena Research Center, Greece
Fournaris P., Apostolos
Athena Research Center, Greece
Koulamas, Christos
Athena Research Center, Greece
Privacy Preservation in Industrial IoT via Fast Adaptive Correlation Matrix Completion
Lalos S., Aris
Athena Research Center, Greece
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
<p>The Industrial Internet of Things (IIoT) is a key element of industry 4.0, bringing together modern sensor technology, fog and cloud computing platforms, and artificial intelligence to create smart, self-optimizing industrial equipment and facilities. Though, the scale and sensitivity degree of information continuously increases, giving rise to serious privacy concerns. The scope of this article is to provide efficient privacy preservation techniques, by tracking the correlation of multivariate streams recorded in a network of IIoT devices. The time-varying data covariance matrix is used to add noise that cannot be easily removed by filtering, generating obfuscated measurements and, thus, preventing unauthorized access to the original data. To improve communication efficiency between connected IoT devices, we exploit inherent properties of the correlation matrices, and track the essential correlations from a small subset of correlation values. Extensive simulation studies using constrained IIoT devices validate the robustness, efficiency, and effectiveness of our approach.</p>
Zenodo
2020-09-18
info:eu-repo/semantics/article
6381530
user-eu
award_title=Cross-layer cognitive optimization tools & methods for the lifecycle support of dependable CPSoS; award_number=871738; award_identifiers_scheme=url; award_identifiers_identifier=https://cordis.europa.eu/projects/871738; funder_id=00k4n6c32; funder_name=European Commission;
1648129762.604962
1569140
md5:dd71162a81640dc48ab644c7c1221afb
https://zenodo.org/records/6381531/files/Privacy_Preservation_in_Industrial_IoT_via_Fast_Adaptive_Correlation_Matrix_Completion.pdf
public
10.5281/zenodo.6381530
isVersionOf
doi