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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.
Pre-print version of paper submitted to W-P2DS´18 - 1st Workshop on Privacy by Design in Distributed Systems (co-organized with Eurosys 2018)
IoT Security, Smart Metering, power distribution grids, cloud computing, Intel Software Guard eXtension (SGX), Encryption, FOS: Mechanical engineering, Smart grid, Database, Engineering, Characterization and Detection of Android Malware, Artificial Intelligence, Computer security, Software deployment, Cloud computing, Data security, Language-based Information Flow Security, Scalability, News aggregator, Security Challenges in Smart Grid Systems, Computer science, Mechanical engineering, Operating system, Metering mode, Control and Systems Engineering, Electrical engineering, Physical Sciences, Signal Processing, Computer Science
IoT Security, Smart Metering, power distribution grids, cloud computing, Intel Software Guard eXtension (SGX), Encryption, FOS: Mechanical engineering, Smart grid, Database, Engineering, Characterization and Detection of Android Malware, Artificial Intelligence, Computer security, Software deployment, Cloud computing, Data security, Language-based Information Flow Security, Scalability, News aggregator, Security Challenges in Smart Grid Systems, Computer science, Mechanical engineering, Operating system, Metering mode, Control and Systems Engineering, Electrical engineering, Physical Sciences, Signal Processing, Computer Science
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