Homomorphic encryption versus searchable encryption for data retrieval on cloud

Busranur Bulbul; Serif Bahtiyar; Deniz Turgay Altilar

doi:10.1109/UBMK50275.2020.9219533

Homomorphic encryption versus searchable encryption for data retrieval on cloud

Busranur Bulbul, Serif Bahtiyar, Deniz Turgay Altilar

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Citation (Scopus)

Abstract

Securing data retrieval on cloud has been a significant challenge for many years. Additionally, there are trade off between adequate security and performance of existing data retrieval systems. Searchable encryption and homomorphic encryption are used to secure data retrieval systems on cloud with specific architectures, which are inefficient. In this paper, we have proposed a novel architecture with searchable encryption for data retrieval on cloud, namely SDCA-SSE, which provide better performance results. We evaluated SDCA-SSE empirically with simulations. Performance evaluation results show that our architecture for secure data retrieval on cloud provides better performance.

Original language	English
Title of host publication	5th International Conference on Computer Science and Engineering, UBMK 2020
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	187-192
Number of pages	6
ISBN (Electronic)	9781728175652
DOIs	https://doi.org/10.1109/UBMK50275.2020.9219533
Publication status	Published - Sept 2020
Event	5th International Conference on Computer Science and Engineering, UBMK 2020 - Diyarbakir, Turkey Duration: 9 Sept 2020 → 10 Sept 2020

Publication series

Name	5th International Conference on Computer Science and Engineering, UBMK 2020

Conference

Conference	5th International Conference on Computer Science and Engineering, UBMK 2020
Country/Territory	Turkey
City	Diyarbakir
Period	9/09/20 → 10/09/20

Bibliographical note

Publisher Copyright:
© 2020 IEEE.

Keywords

Cloud computin
Cloud securit
Fully homomorphic encryptio
Searchable encryptio

Access to Document

10.1109/UBMK50275.2020.9219533

Cite this

Bulbul, B., Bahtiyar, S., & Altilar, D. T. (2020). Homomorphic encryption versus searchable encryption for data retrieval on cloud. In 5th International Conference on Computer Science and Engineering, UBMK 2020 (pp. 187-192). Article 9219533 (5th International Conference on Computer Science and Engineering, UBMK 2020). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/UBMK50275.2020.9219533

Bulbul, Busranur ; Bahtiyar, Serif ; Altilar, Deniz Turgay. / Homomorphic encryption versus searchable encryption for data retrieval on cloud. 5th International Conference on Computer Science and Engineering, UBMK 2020. Institute of Electrical and Electronics Engineers Inc., 2020. pp. 187-192 (5th International Conference on Computer Science and Engineering, UBMK 2020).

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abstract = "Securing data retrieval on cloud has been a significant challenge for many years. Additionally, there are trade off between adequate security and performance of existing data retrieval systems. Searchable encryption and homomorphic encryption are used to secure data retrieval systems on cloud with specific architectures, which are inefficient. In this paper, we have proposed a novel architecture with searchable encryption for data retrieval on cloud, namely SDCA-SSE, which provide better performance results. We evaluated SDCA-SSE empirically with simulations. Performance evaluation results show that our architecture for secure data retrieval on cloud provides better performance.",

keywords = "Cloud computin, Cloud securit, Fully homomorphic encryptio, Searchable encryptio",

author = "Busranur Bulbul and Serif Bahtiyar and Altilar, {Deniz Turgay}",

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series = "5th International Conference on Computer Science and Engineering, UBMK 2020",

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Bulbul, B, Bahtiyar, S & Altilar, DT 2020, Homomorphic encryption versus searchable encryption for data retrieval on cloud. in 5th International Conference on Computer Science and Engineering, UBMK 2020., 9219533, 5th International Conference on Computer Science and Engineering, UBMK 2020, Institute of Electrical and Electronics Engineers Inc., pp. 187-192, 5th International Conference on Computer Science and Engineering, UBMK 2020, Diyarbakir, Turkey, 9/09/20. https://doi.org/10.1109/UBMK50275.2020.9219533

Homomorphic encryption versus searchable encryption for data retrieval on cloud. / Bulbul, Busranur; Bahtiyar, Serif ; Altilar, Deniz Turgay.
5th International Conference on Computer Science and Engineering, UBMK 2020. Institute of Electrical and Electronics Engineers Inc., 2020. p. 187-192 9219533 (5th International Conference on Computer Science and Engineering, UBMK 2020).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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N2 - Securing data retrieval on cloud has been a significant challenge for many years. Additionally, there are trade off between adequate security and performance of existing data retrieval systems. Searchable encryption and homomorphic encryption are used to secure data retrieval systems on cloud with specific architectures, which are inefficient. In this paper, we have proposed a novel architecture with searchable encryption for data retrieval on cloud, namely SDCA-SSE, which provide better performance results. We evaluated SDCA-SSE empirically with simulations. Performance evaluation results show that our architecture for secure data retrieval on cloud provides better performance.

AB - Securing data retrieval on cloud has been a significant challenge for many years. Additionally, there are trade off between adequate security and performance of existing data retrieval systems. Searchable encryption and homomorphic encryption are used to secure data retrieval systems on cloud with specific architectures, which are inefficient. In this paper, we have proposed a novel architecture with searchable encryption for data retrieval on cloud, namely SDCA-SSE, which provide better performance results. We evaluated SDCA-SSE empirically with simulations. Performance evaluation results show that our architecture for secure data retrieval on cloud provides better performance.

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M3 - Conference contribution

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Bulbul B, Bahtiyar S , Altilar DT. Homomorphic encryption versus searchable encryption for data retrieval on cloud. In 5th International Conference on Computer Science and Engineering, UBMK 2020. Institute of Electrical and Electronics Engineers Inc. 2020. p. 187-192. 9219533. (5th International Conference on Computer Science and Engineering, UBMK 2020). doi: 10.1109/UBMK50275.2020.9219533

Homomorphic encryption versus searchable encryption for data retrieval on cloud

Abstract

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Keywords

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