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A privacy-friendly smart metering architecture with few-instance storage

  • We provide a privacy-friendly cloud-based smart metering storage architecture which provides few-instance storage on encrypted measurements by at the same time allowing SQL queries on them. Our approach is most flexible with respect to two axes: on the one hand it allows to apply filtering rules on encrypted data with respect to various upcoming business cases; on the other hand it provides meansWe provide a privacy-friendly cloud-based smart metering storage architecture which provides few-instance storage on encrypted measurements by at the same time allowing SQL queries on them. Our approach is most flexible with respect to two axes: on the one hand it allows to apply filtering rules on encrypted data with respect to various upcoming business cases; on the other hand it provides means for a storage-efficient handling of encrypted measurements by applying server-side deduplication techniques over all incoming smart meter measurements. Although the work at hand is purely dedicated to a smart metering architecture we believe our approach to have value for a broader class of IoT cloud storage solutions. Moreover, it is an example for Privacy-by-design supporting the positive-sum paradigm.show moreshow less

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Metadaten
Author:Asif Mohammad, Jürgen Stader, Dirk WesthoffGND
Place of publication:Piscataway
Year of Publication:2015
ISBN:978-1-4673-7328-9 (digital)
ISBN:978-1-4673-7327-2 (Print on Demand)
Language:English
GND Keyword:Dienstleistung; Informationstechnik; Kommunikation
Parent Title (English):2015 15th International Conference on Innovations for Community Services (I4CS)
First Page:1
Last Page:7
Document Type:Conference Proceeding
Institutes:Bibliografie
Release Date:2018/06/28
Licence (German):License LogoEs gilt das UrhG
DOI:https://doi.org/10.1109/I4CS.2015.7294485