A general transformation from KP-ABE to searchable encryption

Han, Fang; Qin, Jing; Zhao, Huawei; Hu, Jiankun

doi:10.1016/j.future.2013.09.013

Cited by 61 publications

(33 citation statements)

References 12 publications

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“…It also requires a secure channel and supports the receiver private verification. After this work, many researchers proposed attribute-based encryption with keyword search schemes [22,23].…”

Section: Related Workmentioning

confidence: 99%

A Secure Data Sharing Scheme with Designated Server

Zhu

Sun

Qin

et al. 2019

Security and Communication Networks

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The cloud-assisted Internet of Things (CIoT) is booming, which utilizes powerful data processing capabilities of the cloud platform to solve massive Internet of Things (IoT) data. However, the CIoT faces new security challenges, such as the confidentiality of the outsourced data. Data encryption is a fundamental technique that can guarantee the confidentiality of outsourced data, but it limits target encrypted data retrieval from cloud platform. Public key encryption with keyword search (PEKS) provides a promising solution to address this problem. In PEKS, a cloud server can be authorized to search the keyword in encrypted documents and retrieve associated encrypted documents for the receiver. However, most existing PEKS schemes merely focus on keyword search function while ignoring the associated documents encryption/decryption function. Thus, in practice, a PEKS scheme must cooperate with another separated public key encryption (PKE) scheme to fulfill a completely secure data sharing scheme. To address this problem, in this paper, we propose a secure data sharing scheme with designated server that combines PKE scheme with PEKS scheme, which provides both keyword search and documents encryption/decryption functions. Furthermore, only the designated server can search the keyword via encrypted documents for enhanced security in our work. Moreover, our scheme also satisfies the public verifiability of search results, which includes both keywords and documents ciphertexts’ correctness and integrity. As to the security, our scheme provides stronger indistinguishability security of document and keyword in the proposed security model.

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Section: Related Workmentioning

confidence: 99%

A Secure Data Sharing Scheme with Designated Server

Zhu

Sun

Qin

et al. 2019

Security and Communication Networks

Self Cite

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“…Han et al in [15] proposed an attribute-based searchable encryption with key policy. Their scheme achieves flexible access control on the search indexes of ciphertext.…”

Section: Attribute-based Abstractearchmentioning

confidence: 99%

“…To better satisfy this demand, Sahai et al presented attribute-based encryption (ABE) [10][11][12] which efficiently brings flexible access control. Researchers have also taken the advantages of ABE [13,14] and keyword search to present attribute-based keyword search schemes [15][16][17][18]. Until now, several schemes have achieved keyword search based on ABE, but the performance can still be further optimized.…”

Section: Introductionmentioning

confidence: 99%

Towards Secure Data Retrieval for Multi-Tenant Architecture Using Attribute-Based Key Word Search

2017

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Searchable encryption mechanism and attribute-based encryption (ABE) are two effective tools for providing fine-grained data access control in the cloud. Researchers have also taken their advantages to present searchable encryption schemes based on ABE and have achieved significant results. However, most of the existing key word search schemes based on ABE lack the properties of key exposure protection and highly efficient key updating when key leakage happens. To better tackle these problems, we present a key insulated attribute-based data retrieval scheme with key word search (KI-ABDR-KS) for multi-tenant architecture. In our scheme, a data owner can make a self-centric access policy of the encrypted data. Only when the possessing attributes match with the policy can a receiver generate a valid trapdoor and search the ciphertext. The proposed KI-ABDR-KS also provides full security protection when key exposure happens, which can minimize the damage brought by key exposure. Furthermore, the system public parameters remain unchanged during the process of key updating; this will reduce the considerable overheads brought by parameters synchronization. Finally, our KI-ABDR-KS is proven to be secure under chosen-keyword attack and achieves better efficiency compared to existing works.

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“…In their turn, all of Fu, Z., et al [24], have also proposed the application of a deterministic algorithm for encryption with the aim of keywords' encryption, as well as using stream ciphers so as to carry out security post-encrypt keywords. Furthermore, Han, F., et al [25], gave their proposal of a new technique for transforming the Key-Policy Attribute-Based Encryption (KP-ABE) to be Attribute-Based Encryption instead using the feature of Keyword Search (ABEKS). In order to render transformation feasible, the researchers were keen on defining the feature of weak anonymity, which is known as attribute privacy that is also incurring slight computational transparency.…”

Section: Related Workmentioning

confidence: 99%

Security Model for Preserving Privacy over Encrypted Cloud Computing

Mlgheit¹,

Houssein²,

Zayed³

2017

JCC

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In our today's life, it is obvious that cloud computing is one of the new and most important innovations in the field of information technology which constitutes the ground for speeding up the development in great size storage of data as well as the processing and distribution of data on the largest scale. In other words, the most important interests of any data owner nowadays are related to all of the security as well as the privacy of data, especially in the case of outsourcing private data on a cloud server publicly which has not been one of the well-trusted and reliable domains. With the aim of avoiding any leakage or disclosure of information, we will encrypt any information important or confidential prior to being uploaded to the server and this may lead to an obstacle which encounters any attempt to support any efficient keyword query to be and ranked with matching results on such encrypted data. Recent researches conducted in this area have focused on a single keyword query with no proper ranking scheme in hand. In this paper, we will propose a new model called Secure Model for Preserving Privacy Over Encrypted Cloud Computing (SPEC) to improve the performance of cloud computing and to safeguard privacy of data in comparison to the results of previous researches in regard to accuracy, privacy, security, key generation, storage capacity as well as trapdoor, index generation, index encryption, index update, and finally files retrieval depending on access frequency.

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A general transformation from KP-ABE to searchable encryption

Cited by 61 publications

References 12 publications

A Secure Data Sharing Scheme with Designated Server

A Secure Data Sharing Scheme with Designated Server

Towards Secure Data Retrieval for Multi-Tenant Architecture Using Attribute-Based Key Word Search

Security Model for Preserving Privacy over Encrypted Cloud Computing

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