Hidden policy ciphertext-policy attribute based encryption with conjunctive keyword search

Sun, Lixue; Xu, Chunxiang

doi:10.1109/compcomm.2017.8322780

Cited by 8 publications

(21 citation statements)

References 6 publications

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“…However, the exposed access policy is susceptible to attacks from external adversaries. To address this issue, Sun et al [33] proposed a multi-keyword search ABSE scheme that supports partially hidden policies. However, despite the policy being in a semi-hidden state on the server, there is still a risk of leakage.…”

Section: B Related Workmentioning

confidence: 99%

“…According to Table 5, the access policy of the scheme [33] and the scheme proposed in this paper support AND-gates on multi-valued with wildcards, allowing greater expression of access policies compared to the schemes proposed by [14], [17] and [23]. In addition, our scheme implements the fully hidden policy, in which neither the attribute name nor the attribute value are visible to adversaries.…”

Section: A Functionality Comparisonmentioning

confidence: 99%

“…In addition, our scheme implements the fully hidden policy, in which neither the attribute name nor the attribute value are visible to adversaries. However, privacy leakage remains an ongoing concern, since only partially hidden policies are achieved in schemes [14], [17] and [33].…”

Section: A Functionality Comparisonmentioning

confidence: 99%

“…In terms of search mode, only a single-keyword search is provided in the scheme described by the authors of [14]. However, multi-keyword searchability is implemented in the schemes proposed in [17], [23], [33] and in our proposed scheme, which greatly improves the search accuracy. In terms of the index storage, the keyword ciphertext index in schemes [14], [17], [23] and [33] are all stored in the cloud service.…”

Section: A Functionality Comparisonmentioning

confidence: 99%

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An Inner Product Predicate-Based Medical Data-Sharing and Privacy Protection System

Wu,

Wang,

Wan

et al. 2024

IEEE Access

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Searchable encryption is widely used in electronic health record systems because it enables users to search ciphertext data without decryption. However, the existing traditional searchable encryption schemes lack fine-grained access policies with wildcards in electronic health record systems. And they also do not consider the problem of hiding policies, as well as the problem of incomplete search results caused by cloud servers. In order to solve all the above problems, this paper proposes a blockchain-aided attribute-based searchable scheme with the properties of inner product predicate. In the proposed scheme, the attribute encryption mechanism implements fine-grained access policies with wildcards, which improves the data owner's ability to control access authorization precisely. Introducing the inner product predicate not only achieves fully hidden access policies but also prevents the leakage of sensitive medical data. The immutability of the blockchain ensures the integrity of multi-keyword search results, guaranteeing reliable data sharing. Finally, the security proof and the performance evaluation are conducted to confirm the security and effectiveness of the proposed scheme.INDEX TERMS Attribute-based searchable encryption, Fine-grained access policies with wildcards, Fully hidden, Inner-product predicate, Blockchain. I. INTRODUCTION A. BACKGROUND VOLUME 11, 2023

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Section: B Related Workmentioning

confidence: 99%

Section: A Functionality Comparisonmentioning

confidence: 99%

Section: A Functionality Comparisonmentioning

confidence: 99%

Section: A Functionality Comparisonmentioning

confidence: 99%

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An Inner Product Predicate-Based Medical Data-Sharing and Privacy Protection System

Wu,

Wang,

Wan

et al. 2024

IEEE Access

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“…Thus, this compromises policy secrecy. To improve privacy in ABE schemes, [26], [123]- [132] suggested the hiding of access structures. A user only decrypts a ciphertext if her attributes match the policy, and there is no way she can guess the policy included in the ciphertext.…”

Section: ) Hidden Policy Attribute Based Encryptionmentioning

confidence: 99%

Privacy Provision in Collaborative Ehealth With Attribute-Based Encryption: Survey, Challenges and Future Directions

et al. 2019

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Collaborative eHealth that enables the collection and sharing of patients' data is eliminating the location and accessibility barriers in healthcare service delivery. With advances in technology, patients' data can be collected from anywhere, at any time, stored in a central location, and shared across multiple service providers to improve the quality of healthcare service delivery. Maintaining patients' data privacy during the storage and sharing process is critical for collaborative eHealth success. The attribute-based encryption, which has shown potential in data privacy protection in the cloud, has the necessary ingredients to be used in guarding against privacy violations in collaborative eHealth. In this paper, we survey the different attributebased encryption schemes for usage in collaborative eHealth. We discuss some challenges associated with the use of attribute-based encryption schemes in collaborative eHealth and point out some future research directions. Also, we perform a comparative analysis of the surveyed schemes in terms of security, revocation ability, and efficiency. INDEX TERMS Attribute-based encryption (ABE), collaborative ehealth, electronic health record (EHR), privacy.

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SHARE-ABE: an efficient and secure data sharing framework based on ciphertext-policy attribute-based encryption and Fog computing

2021

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Hidden policy ciphertext-policy attribute based encryption with conjunctive keyword search

Cited by 8 publications

References 6 publications

An Inner Product Predicate-Based Medical Data-Sharing and Privacy Protection System

An Inner Product Predicate-Based Medical Data-Sharing and Privacy Protection System

Privacy Provision in Collaborative Ehealth With Attribute-Based Encryption: Survey, Challenges and Future Directions

SHARE-ABE: an efficient and secure data sharing framework based on ciphertext-policy attribute-based encryption and Fog computing

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