Secure Cloud Processing for Smart Meters Using Intel SGX

• Marcos V. M. Araújo UFRJ
• Charles B. do Prado INMETRO
• Luiz F. Rust C. Carmo UFRJ / INMETRO
• Alvaro E. R. Rincón UFRJ
• Claudio M. Farias UFRJ

DOI: https://doi.org/10.5753/sbseg.2018.4274

Resumo

Smart Grids are power grids that use Information and Communication Technologies to improve the power generation, transmission and distribution. The main characteristic on Smart Grids is the ability to process and transmit a huge data information in real-time. However, that rise a new security challenge on confidentiality and data integrity, due to Smart Grids can be part of hostile environments. For example, using a cloud computing to realize billing and load balance process. Thus, to ensure confidentiality and data integrity of Smart Grids in cloud environments, this paper proposes an application for the protection of billing and load balancing data using the Intel Intel Software Guard extension SGX platform. SGX allow to instantiate protected memory areas called enclaves, preventing subprocesses or other machines within the cloud from accessing the data stored in them.

Referências

Aderaldo, C. M., Mendonça, N. C., Pahl, C., and Jamshidi, P. (2017). Benchmark requirements for microservices architecture research. In Proceedings of the 1st International Workshop on Establishing the Community-Wide Infrastructure for Architecture-Based Software Engineering, pages 8–13. IEEE Press.

Barbosa, P., Brito, A., and Almeida, H. (2016). A Technique to provide differential privacy for appliance usage in smart metering. Information Sciences, 370-371:355–367.

Mwansa, M., Hurst, W., Chalmers, C., Shen, Y., and Boddy, A. (2018). A study into smart grid consumer-user profiling for security applications. CLOUD COMPUTING 2018, page 17.

Rabieh, K., Mahmoud, M. M., Akkaya, K., and Tonyali, S. (2017). Scalable certificate revocation schemes for smart grid ami networks using bloom filters. IEEE Transactions on Dependable and Secure Computing, 14(4):420–432.

Youssef, K. H. (2017). Power quality constrained optimal management of unbalanced smart microgrids during scheduled multiple transitions between grid-connected and islanded modes. IEEE Transactions on Smart Grid, 8(1):457–464.