research-article

Privacy-preserving Dynamic Symmetric Searchable Encryption with Controllable Leakage

Authors:

Muhammad Rizwan Asghar,

Steven D. Galbraith,

Giovanni RusselloAuthors Info & Claims

ACM Transactions on Privacy and Security (TOPS), Volume 24, Issue 3

Article No.: 18, Pages 1 - 35

https://doi.org/10.1145/3446920

Published: 20 April 2021 Publication History

Abstract

Searchable Encryption (SE) is a technique that allows Cloud Service Providers to search over encrypted datasets without learning the content of queries and records. In recent years, many SE schemes have been proposed to protect outsourced data. However, most of them leak sensitive information, from which attackers could still infer the content of queries and records by mounting leakage-based inference attacks, such as the count attack and file-injection attack.

In this work, first we define the leakage in searchable encrypted databases and analyse how the leakage is leveraged in existing leakage-based attacks. Second, we propose a <underline>P</underline>rivacy-preserving <underline>M</underline>ulti-<underline>c</underline>loud based dynamic symmetric SE scheme for relational <underline>D</underline>ata<underline>b</underline>ase (P-McDb). P-McDb has minimal leakage, which not only ensures confidentiality of queries and records but also protects the search, intersection, and size patterns. Moreover, P-McDb ensures both forward and backward privacy of the database. Thus, P-McDb could resist existing leakage-based attacks, e.g., active file/record-injection attacks. We give security definition and analysis to show how P-McDb hides the aforementioned patterns. Finally, we implemented a prototype of P-McDb and tested it using the TPC-H benchmark dataset. Our evaluation results show that users can get the required records in 2.16 s when searching over 4.1 million records.

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Kumari KMehrotra SSharma S(2024)Tutorial: Information Leakage from Cryptographic Techniques2024 IEEE 44th International Conference on Distributed Computing Systems Workshops (ICDCSW)10.1109/ICDCSW63686.2024.00007(9-12)Online publication date: 23-Jul-2024
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Index Terms

Privacy-preserving Dynamic Symmetric Searchable Encryption with Controllable Leakage
1. Security and privacy
  1. Database and storage security
    1. Management and querying of encrypted data

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cover image ACM Transactions on Privacy and Security

ACM Transactions on Privacy and Security Volume 24, Issue 3

August 2021

286 pages

ISSN:2471-2566

EISSN:2471-2574

DOI:10.1145/3450360

Editor:
Ninghui Li
Purdue University, USA

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Publication History

Published: 20 April 2021

Accepted: 01 January 2021

Revised: 01 October 2020

Received: 01 February 2020

Published in TOPS Volume 24, Issue 3

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Kumari KMehrotra SSharma S(2024)Tutorial: Information Leakage from Cryptographic Techniques2024 IEEE 44th International Conference on Distributed Computing Systems Workshops (ICDCSW)10.1109/ICDCSW63686.2024.00007(9-12)Online publication date: 23-Jul-2024
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https://dl.acm.org/doi/10.1016/j.jisa.2023.103652
Varri UMallick DDas AHossain MPark YRodrigues J(2024)TL-ABKS: Traceable and lightweight attribute-based keyword search in edge–cloud assisted IoT environmentAlexandria Engineering Journal10.1016/j.aej.2024.09.030107(757-769)Online publication date: Nov-2024
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Yicai HQing ZBin Y(2023)Multi-Client Dynamic Searchable Symmetric Encryption Scheme with Supporting Conjunction Query2023 9th International Conference on Computer and Communications (ICCC)10.1109/ICCC59590.2023.10507509(803-809)Online publication date: 8-Dec-2023
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