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Article

Searchable Data Vault: Encrypted Queries in Secure Distributed Cloud Storage

by
Geong Sen Poh
1,*,
Vishnu Monn Baskaran
2,
Ji-Jian Chin
2,
Moesfa Soeheila Mohamad
1,
Kay Win Lee
1,
Dharmadharshni Maniam
1 and
Muhammad Reza Z’aba
3
1
Information Security Lab, MIMOS Berhad, 57000 Kuala Lumpur, Malaysia
2
Faculty of Engineering, Multimedia University (MMU), 63000 Cyberjaya, Malaysia
3
Network Security Lab, MIMOS Berhad, 57000 Kuala Lumpur, Malaysia
*
Author to whom correspondence should be addressed.
Algorithms 2017, 10(2), 52; https://doi.org/10.3390/a10020052
Submission received: 28 February 2017 / Revised: 19 April 2017 / Accepted: 3 May 2017 / Published: 9 May 2017
(This article belongs to the Special Issue Security and Privacy in Cloud Computing Environments)

Abstract

Cloud storage services allow users to efficiently outsource their documents anytime and anywhere. Such convenience, however, leads to privacy concerns. While storage providers may not read users’ documents, attackers may possibly gain access by exploiting vulnerabilities in the storage system. Documents may also be leaked by curious administrators. A simple solution is for the user to encrypt all documents before submitting them. This method, however, makes it impossible to efficiently search for documents as they are all encrypted. To resolve this problem, we propose a multi-server searchable symmetric encryption (SSE) scheme and construct a system called the searchable data vault (SDV). A unique feature of the scheme is that it allows an encrypted document to be divided into blocks and distributed to different storage servers so that no single storage provider has a complete document. By incorporating the scheme, the SDV protects the privacy of documents while allowing for efficient private queries. It utilizes a web interface and a controller that manages user credentials, query indexes and submission of encrypted documents to cloud storage services. It is also the first system that enables a user to simultaneously outsource and privately query documents from a few cloud storage services. Our preliminary performance evaluation shows that this feature introduces acceptable computation overheads when compared to submitting documents directly to a cloud storage service.
Keywords: searchable symmetric encryption; searching encrypted data; cloud security searchable symmetric encryption; searching encrypted data; cloud security

Share and Cite

MDPI and ACS Style

Poh, G.S.; Baskaran, V.M.; Chin, J.-J.; Mohamad, M.S.; Lee, K.; Maniam, D.; Z’aba, M.R. Searchable Data Vault: Encrypted Queries in Secure Distributed Cloud Storage. Algorithms 2017, 10, 52. https://doi.org/10.3390/a10020052

AMA Style

Poh GS, Baskaran VM, Chin J-J, Mohamad MS, Lee K, Maniam D, Z’aba MR. Searchable Data Vault: Encrypted Queries in Secure Distributed Cloud Storage. Algorithms. 2017; 10(2):52. https://doi.org/10.3390/a10020052

Chicago/Turabian Style

Poh, Geong Sen, Vishnu Monn Baskaran, Ji-Jian Chin, Moesfa Soeheila Mohamad, Kay Win Lee, Dharmadharshni Maniam, and Muhammad Reza Z’aba. 2017. "Searchable Data Vault: Encrypted Queries in Secure Distributed Cloud Storage" Algorithms 10, no. 2: 52. https://doi.org/10.3390/a10020052

APA Style

Poh, G. S., Baskaran, V. M., Chin, J.-J., Mohamad, M. S., Lee, K., Maniam, D., & Z’aba, M. R. (2017). Searchable Data Vault: Encrypted Queries in Secure Distributed Cloud Storage. Algorithms, 10(2), 52. https://doi.org/10.3390/a10020052

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

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