Searchable symmetric encryption over multiple servers

Poh, Geong Sen; Mohamad, Moesfa Soeheila; Chin, Ji-Jian

doi:10.1007/s12095-017-0232-y

Cited by 9 publications

(6 citation statements)

References 11 publications

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“…More recently, schemes that involve more than one server have been proposed, such as in [3,28,29]. In Bösch et al [28], a query proxy is introduced in addition to the storage server.…”

Section: Searchable Symmetric Encryption (Sse)mentioning

confidence: 99%

“…Relatively less computationally efficient oblivious RAM (ORAM), private information retrieval (PIR) and multi-party computation (MPC) mechanisms are deployed to a small part of the database. In contrast to the above proposals that deploy a helper or proxy server, Poh et al [3] introduced SSE schemes that allow for a message to be divided into blocks and randomly distributed to many servers. By doing so, leakage can be further reduced as compared to schemes with one storage server.…”

Section: Searchable Symmetric Encryption (Sse)mentioning

confidence: 99%

“…In this section, we provide definition of such schemes as defined in [3], and present our scheme in the subsequent section. Table 1 provides notations used to describe the definition, and the proposed SSE scheme.…”

Section: Definitionmentioning

confidence: 99%

“…We further remark that for our proposed scheme in the following section (a simplified version compared to the proposal in [3]), the only keyword for each document is its filename and thus there is no keyword index table required, as in the above definition. This provides flexibility to include desired search functionalities (e.g., Boolean, conjunctive) on top of the filename search in our proposed scheme.…”

Section: Security Modelmentioning

confidence: 99%

“…3. We further propose a multi-server SSE scheme, which is adapted from [3], with an implementation for SDV. 4.…”

Section: Introductionmentioning

confidence: 99%

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Searchable Data Vault: Encrypted Queries in Secure Distributed Cloud Storage

et al. 2017

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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.

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“…More recently, schemes that involve more than one server have been proposed, such as in [3,28,29]. In Bösch et al [28], a query proxy is introduced in addition to the storage server.…”

Section: Searchable Symmetric Encryption (Sse)mentioning

confidence: 99%

Section: Searchable Symmetric Encryption (Sse)mentioning

confidence: 99%

Section: Definitionmentioning

confidence: 99%

Section: Security Modelmentioning

confidence: 99%

“…3. We further propose a multi-server SSE scheme, which is adapted from [3], with an implementation for SDV. 4.…”

Section: Introductionmentioning

confidence: 99%

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