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DOI: 10.5445/IR/1000052458

Privacy-Enhancing Methods for Time Series and their Impact on Electronic Markets

Kessler, Stephan

The amount of collected time series data containing personal information has increased in the last years, e.g., smart meters store time series of power consumption data. Using such data for the benefit of society requires methods to protect the privacy of individuals. Those methods need to modify the data. In this thesis, we contribute a provable privacy method for time series and introduce an application specific measure in the smart grid domain to evaluate their impact on data quality.

Zugehörige Institution(en) am KIT Institut für Programmstrukturen und Datenorganisation (IPD)
Publikationstyp Hochschulschrift
Jahr 2015
Sprache Englisch
Identifikator URN: urn:nbn:de:swb:90-524587
KITopen ID: 1000052458
Verlag Karlsruhe
Abschlussart Dissertation
Fakultät Fakultät für Informatik (INFORMATIK)
Institut Institut für Programmstrukturen und Datenorganisation (IPD)
Prüfungsdaten 27.05.2015
Referent/Betreuer Prof. K. Böhm
Schlagworte Privacy, Smart-Grid, Electronic Markets
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