Attribute-Based Hybrid Boolean Keyword Search over Outsourced Encrypted Data

He, Kai; Guo, Jun; Weng, Jiasi; Liu, Joseph K.; Yi, Xun

doi:10.1109/tdsc.2018.2864186

Cited by 56 publications

(56 citation statements)

References 45 publications

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“…In this step, a user query is represented by a set of hashtags. Moreover, any search process [47]- [49] could be applied in this step to compute the score between the set of discovered patterns, and the hashtags of the user query.…”

Section: E Searching Processmentioning

confidence: 99%

Exploring Pattern Mining Algorithms for Hashtag Retrieval Problem

et al. 2020

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Hashtag is an iconic feature to retrieve the hot topics of discussion on Twitter or other social networks. This paper incorporates the pattern mining approaches to improve the accuracy of retrieving the relevant information and speeding up the search performance. A novel algorithm called PM-HR (Pattern Mining for Hashtag Retrieval) is designed to first transform the set of tweets into a transactional database by considering two different strategies (trivial and temporal). After that, the set of the relevant patterns is discovered, and then used as a knowledge-based system for finding the relevant tweets based on users' queries under the similarity search process. Extensive results are carried out on large and different tweet collections, and the proposed PM-HR outperforms the baseline hashtag retrieval approaches in terms of runtime, and it is very competitive in terms of accuracy. INDEX TERMS Hashtag retrieval, pattern mining, scalability.

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Section: E Searching Processmentioning

confidence: 99%

Exploring Pattern Mining Algorithms for Hashtag Retrieval Problem

et al. 2020

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“…Yang et al [13] put forward a multiuser multi-keyword ranked search scheme to support arbitrary language query, which is constructed based on Paillier homomorphic encryption algorithm. He et al [14] suggested an attribute-based hybrid Boolean keyword search scheme based on prime-order bilinear groups. A lightweight traceable system supporting keyword search is proposed in [15], which offloads most of the heavy cryptographic computations to the cloud and realizes traitor tracing function.…”

Section: Related Work a Searchable Encryptionmentioning

confidence: 99%

Blockchain-Based Verifiable Multi-Keyword Ranked Search on Encrypted Cloud With Fair Payment

Yang¹,

Lin

Liu

et al. 2019

IEEE Access

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In traditional cloud computing system, searchable encryption is deemed as a core technology to realize data confidentiality protection and information retrieval functions. However, the online payment problem and mutual distrust between cloud platforms and users may hinder the wide adoption of cloud service. In this paper, we construct a blockchain based multi-keyword ranked search with fair payment (BMFP) system, which leverages smart contracts to verify the correctness and completeness of the search result, and automatically execute the fair payment operations. The system realizes public verifiability on a multi-keyword ranked search result. The data owner manages the search authority, and a concrete fair payment smart contract is designed. The BMFP is compatible with Ethereum, and the verification algorithm executed by the smart contract is cost-efficient.INDEX TERMS Blockchain, cloud computing, fair payment, verifiable searchable encryption, top-k ranked search, multiple keywords.

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“…In recent past, PEKS scheme was combined with ABAC to provide restricted access on personal health record (PHR). In [8], the authors designed PEKS integrated with ABAC to support multi-keyword search in multi-user settings. In [5], the expressive SE scheme in PEKS was studied and developed for outsourced PHRs.…”

Section: Related Workmentioning

confidence: 99%

“…In PHR datasets, changing privileges (i.e., user-permission assignments) are minimal [6], [7]. Since ABAC is the most suitable approach for these cases, protecting PHR data in the cloud by the means of attribute based keyword search over encrypted data is the most preferred choice of researchers [5], [8]- [10].…”

Section: Introductionmentioning

confidence: 99%

R-PEKS: RBAC Enabled PEKS for Secure Access of Cloud Data

et al. 2019

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In the recent past, few works have been done by combining attribute-based access control with multi-user PEKS, i.e., public key encryption with keyword search. Such attribute enabled searchable encryption is most suitable for applications where the changing of privileges is done once in a while. However, to date, no efficient and secure scheme is available in the literature that is suitable for these applications where changing privileges are done frequently. In this paper our contributions are twofold. Firstly, we propose a new PEKS scheme for string search, which, unlike the previous constructions, is free from bi-linear mapping and is efficient by 97% compared to PEKS for string search proposed by Ray et.al in TrustCom 2017. Secondly, we introduce role based access control (RBAC) to multi-user PEKS, where an arbitrary group of users can search and access the encrypted files depending upon roles. We termed this integrated scheme as R-PEKS. The efficiency of R-PEKS over the PEKS scheme is up to 90%. We provide formal security proofs for the different components of R-PEKS and validate these schemes using a commercial dataset.

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Attribute-Based Hybrid Boolean Keyword Search over Outsourced Encrypted Data

Cited by 56 publications

References 45 publications

Exploring Pattern Mining Algorithms for Hashtag Retrieval Problem

Exploring Pattern Mining Algorithms for Hashtag Retrieval Problem

Blockchain-Based Verifiable Multi-Keyword Ranked Search on Encrypted Cloud With Fair Payment

R-PEKS: RBAC Enabled PEKS for Secure Access of Cloud Data

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