Reconciling Privacy and Utility for Energy Services – an Application to Demand Response Protocols
| Autor: | Franklin Leukam Lako, Maryline Laurent, Paul Lajoie-Mazenc |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Consumption (economics)
021110 strategic defence & security studies Computer science Aggregate (data warehouse) 0211 other engineering and technologies 020206 networking & telecommunications 02 engineering and technology Computer security computer.software_genre 7. Clean energy Demand response Smart grid 0202 electrical engineering electronic engineering information engineering Secure multi-party computation Adaptation (computer science) Protocol (object-oriented programming) computer Energy (signal processing) |
| Zdroj: | EuroS&P Workshops |
| DOI: | 10.1109/eurospw51379.2020.00054 |
| Popis: | The collection of fine-grained consumption of users in the smart grid enables energy providers to propose new services (e.g. consumption forecasts or demand response protocols), but at the price of users’ privacy: consumption data collected by smart meters reflects the use of all appliances by inhabitants in the household over time. Based on the observation that Secure Multi-party Computation (SMC) enables computing an aggregate without learning individual information, this paper proposes a privacy-preserving adaptation of an existing demand response protocol which is fed with users’ personal data. An extension providing fraud resistance is also presented. Experimental results demonstrate that our protocol is able to reconcile privacy and utility. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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