Analyzing the Performance of Searchable Symmetric Encryption over Huawei Cloud

  • Matheus M. Silveira UECE
  • Danielle S. Silva UECE
  • Luiz Z. Oliveira Huawei Brasil
  • Rafael L. Gomes UECE

Resumo


Cloud computing environments store data from companies and end users, bringing reliability and scalability to this remote access. Additionally, encryption techniques have been applied to protect this data in the cloud, where Searchable Symmetric Encryption (SSE) enables a fast search of keywords in encrypted databases. However, the configuration of the cloud environment directly impacts the processing time of SSE and, consequently, affects Service Level Agreement (SLA) requirements. Within this context, this paper analyzes the impact of Huawei Cloud configuration over the SSE task, encompassing the possible existing options regarding computing and architectures available. The experiments performed using a real database over the Huawei Cloud suggest the most suitable configuration according to the requirements needed to meet.

Referências

Aparajit, S., Shah, R., Chopdekar, R., and Patil, R. (2022). Data protection: The cloud security perspective. In 2022 3rd International Conference for Emerging Technology (INCET), pages 1–5.

Gomes, R. L., Bittencourt, L. F., and Madeira, E. R. M. (2020). Reliability-aware network slicing in elastic demand scenarios. IEEE Communications Magazine, 58(10):29–34.

Gong, X., Chen, Y., Wang, Q., Wang, M., and Li, S. (2022). Private data inference attacks against cloud: Model, technologies, and research directions. IEEE Communications Magazine, 60(9):46–52.

Gupta, I., Singh, A. K., Lee, C.-N., and Buyya, R. (2022). Secure data storage and sharing techniques for data protection in cloud environments: A systematic review, analysis, and future directions. IEEE Access, 10:71247–71277.

Li, J., Huang, Y., Wei, Y., Lv, S., Liu, Z., Dong, C., and Lou, W. (2019). Searchable symmetric encryption with forward search privacy. IEEE Transactions on Dependable and Secure Computing, 18(1):460–474.

Mosca, E. E. P., Ribeiro, S., Urbano, A., Silva, D. S., and Gomes, R. L. (2023). Evaluation of security techniques in heterogeneous iot devices. In Proceedings of the 11th Latin-American Symposium on Dependable Computing, LADC ’22, page 91–94, New York, NY, USA. Association for Computing Machinery.

Poh, G. S., Chin, J.-J., Yau, W.-C., Choo, K.-K. R., and Mohamad, M. S. (2017). Searchable symmetric encryption: designs and challenges. ACM Computing Surveys (CSUR), 50(3):1–37.

Silveira, M. M., Silva, D. S., Rodriguez, S. J. R., and Gomes, R. L. (2023). Searchable symmetric encryption for private data protection in cloud environments. In Proceedings of the 11th Latin-American Symposium on Dependable Computing, LADC ’22, page 95–98, New York, NY, USA. Association for Computing Machinery.

Yu, J., Moon, H., Chua, B.-L., and Han, H. (2022). Hotel data privacy: strategies to reduce customers’ emotional violations, privacy concerns, and switching intention. Journal of Travel & Tourism Marketing, 39(2):213–225.
Publicado
22/05/2023
SILVEIRA, Matheus M.; SILVA, Danielle S.; OLIVEIRA, Luiz Z.; GOMES, Rafael L.. Analyzing the Performance of Searchable Symmetric Encryption over Huawei Cloud. In: TRILHA INDUSTRIAL - SIMPÓSIO BRASILEIRO DE REDES DE COMPUTADORES E SISTEMAS DISTRIBUÍDOS (SBRC), 41. , 2023, Brasília/DF. Anais [...]. Porto Alegre: Sociedade Brasileira de Computação, 2023 . p. 200-205. ISSN 2177-9384. DOI: https://doi.org/10.5753/sbrc_estendido.2023.465.