Security and privacy preserving data aggregation in cloud computing
| Autor: | Andrey Brito, Leandro Ventura Silva, Rodolfo Marinho, Jose Luis Vivas |
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| Rok vydání: | 2017 |
| Předmět: |
FOS: Computer and information sciences
Demand management 021110 strategic defence & security studies Computer Science - Cryptography and Security Computer science business.industry 0211 other engineering and technologies 020206 networking & telecommunications Cloud computing 02 engineering and technology Energy consumption Computer security computer.software_genre 7. Clean energy Data aggregator Smart grid 0202 electrical engineering electronic engineering information engineering Metering mode Electricity business Cryptography and Security (cs.CR) computer Efficient energy use |
| Zdroj: | Proceedings of the Symposium on Applied Computing Proceedings of the Symposium on Applied Computing -SAC '17 Proceedings of the Symposium on Applied Computing-SAC 17 |
| Popis: | Smart metering is an essential feature of smart grids, allowing residential customers to monitor and reduce electricity costs. Devices called smart meters allows residential customers to monitor and reduce electricity costs, promoting energy saving, demand management, and energy efficiency. However, monitoring a households' energy consumption through smart meters poses serious privacy threats, and have thus become a major privacy issue. Hence, a significant amount of research has appeared recently with the purpose of providing methods and mechanisms to reconcile smart metering technologies and privacy requirements. However, most current approaches fall short in meeting one of several of the requirements for privacy preserving smart metering systems. In this paper we show how Intel SGX technology can be used to provide a simple and general solution for the smart metering privacy problem that meets all these requirements in a satisfactory way. Moreover, we present also an implementation of the proposed architecture as well as a series of experiments that have been carried out in order to assess how the proposed solution performs in comparison to a second implementation of the architecture that completely disregards privacy issues. |
| Databáze: | OpenAIRE |
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