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Algorithms 2017, 10(2), 52; doi:10.3390/a10020052

Searchable Data Vault: Encrypted Queries in Secure Distributed Cloud Storage

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.
Academic Editors: Sye Loong Keoh and Khin Mi Mi Aung
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)
View Full-Text   |   Download PDF [3002 KB, uploaded 9 May 2017]   |  

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. View Full-Text
Keywords: searchable symmetric encryption; searching encrypted data; cloud security searchable symmetric encryption; searching encrypted data; cloud security
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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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.

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