Searchable Symmetric Encryption for Private Data Protection in Cloud Environments

Silveira, Matheus M.; Silva, Danielle S.; Rueda, Sandra; Gomes, Rafael L.

doi:10.1145/3569902.3570171

Cited by 3 publications

(1 citation statement)

References 9 publications

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“…, Data encryption techniques demand processing time, harming the possibility of frequent encryption and decryption of huge databases and increasing the time to perform searches and retrievals [Aparajit et al 2022]. An alternative approach is the usage of Searchable Symmetric Encryption (SSE) [Li et al 2019, Silveira et al 2023, which is a technique to search for keywords in encrypted databases and retrieve this specific data, without the necessity to decrypt all the database. However, the existing studies in the literature do not perform an analysis of the performance of SSE solutions according to the configuration of the cloud environment.…”

Section: Introductionmentioning

confidence: 99%

Analyzing the Performance of Searchable Symmetric Encryption over Huawei Cloud

Silveira¹,

Silva²,

Oliveira³

et al. 2023

Anais Estendidos Do XLI Simpósio Brasileiro De Redes De Computadores E Sistemas Distribuídos (SBRC Estendido 2023)

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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.

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Section: Introductionmentioning

confidence: 99%

Analyzing the Performance of Searchable Symmetric Encryption over Huawei Cloud

Silveira¹,

Silva²,

Oliveira³

et al. 2023

Anais Estendidos Do XLI Simpósio Brasileiro De Redes De Computadores E Sistemas Distribuídos (SBRC Estendido 2023)

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Intelligent Malware Detection Integrating Cloud and Fog Computing

Paiva,

Nascimento,

Rodrigues

et al. 2024

Proceedings of the 2024 Latin America Networking Conference

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Data Protection based on Searchable Encryption and Anonymization Techniques

Silveira,

Gomes

2024

Anais Do XXXVII Concurso De Teses E Dissertações (CTD 2024)

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Data leakage compromises companies’ confidentiality and directly impacts the existing privacy laws, as well as it is necessary to perform a light integration with the legacy systems, in order not to harm the performance of its services. Within this context, this paper presents an innovative cloud system to protect the private data of existing databases (legacy systems of clients) based on Searchable Symmetric Encryption for Databases (SSE-DB) and Permutation and Proprieties Maintenance Anonymization (PPM-Anon), attaching a security solution to the existing databases (without any change in these legacy systems). Results from real experiments using a real cloud environment suggest that the proposed solution is suitable for protecting the data without harming the performance of the existing services.

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Searchable Symmetric Encryption for Private Data Protection in Cloud Environments

Cited by 3 publications

References 9 publications

Analyzing the Performance of Searchable Symmetric Encryption over Huawei Cloud

Analyzing the Performance of Searchable Symmetric Encryption over Huawei Cloud

Intelligent Malware Detection Integrating Cloud and Fog Computing

Data Protection based on Searchable Encryption and Anonymization Techniques

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