Securing Smart Metering applications in Untrusted Clouds with the SecureCloud Platform

Autor: Marcelo de Oliveira Rosa, Luciana M. Iantorno, Luiz Gomes-Jr, Laerte C. R. Junior, Keiko Verônica Ono Fonseca, Dilmari Seidel, Rodrigo Riella
Jazyk: angličtina
Předmět:
Zdroj: Proceedings of the 1st Workshop on Privacy by Design in Distributed Systems
P2DS@EuroSys
Proceedings of the 1st Workshop on Privacy by Design in Distributed Systems -W-P2DS'18
Proceedings of the 1st Workshop on Privacy by Design in Distributed Systems-W-P2DS18
DOI: 10.1145/3195258.3195263
Popis: Data security in smart metering applications is important not only to secure the customer privacy but also to protect the power utility against fraud attempts. Usual deployment of metering applications rely on the power utility infrastructure, assuming its Advanced Metering Infrastructure (AMI) as trustworthy. This paper describes the design and deployment of a smart metering system focusing on the security of the AMI (smart meters, data aggregator on the field, Metering Data Collection system and metering database) considering the data processing on untrusted clouds. We discuss one use case of the SecureCloud project, an ongoing project that investigates how security and privacy requirements of smart grid applications can be met with a secure cloud platform based on Intel SGX enclaves. The paper describes the components of the advanced metering system as well as the security approach adopted to meet its requirements. A smart metering application has been prototyped in the SecureCloud platform and the integration challenges are discussed from the perspectives of security, privacy and scalability.
Databáze: OpenAIRE