Privacy-Preserving Attribute-Based Multi-keyword Search Encryption Scheme with User Tracing

Liu, Zhen Hua; Liu, Yan; Xu, Jing; Wang, Baocang

doi:10.1007/978-3-030-37352-8_34

Cited by 3 publications

(4 citation statements)

References 18 publications

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“…In their construction, it not only offers multikeyword search but also can be applied to multiowner settings. On the other hand, Liu et al [23] presented a new improved scheme with user tracing using the AND-gate on the multivalue attribute. Although these above schemes support multikeyword search, it cannot be applied to scenarios where multiple owners could be shared.…”

Section: Related Workmentioning

confidence: 99%

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Fine-Grained Attribute-Based Multikeyword Search for Shared Multiowner in Internet of Things

Zhou

Nan

Wang

2021

Security and Communication Networks

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At present, with the popularity of Internet of things (IoT), a huge number of datasets generated by IoT devices are being uploaded to the cloud storage in remote data management service, but a series of security and privacy defects also arises, where one of the best ways for preventing data disclosure is encryption. Among them, searchable encryption (SE) is considered to be a very attractive cryptographic technology, since it allows users to search records in an encrypted form and to protect user’s data on an untrusted server. For the sake of enhancing search permission, attribute-based keyword search (ABKS) is an efficient method to provide secure search queries and fine-grained access authentications over ciphertexts. However, most existing ABKS schemes concentrate on single keyword search, which usually returns redundant and irrelevant results, so it would cost some unnecessary computation and communication resources. Furthermore, existing work in the literature mostly only supports unshared multiowner where a specific data owner owns each file, which is not able to satisfy more desired expressive search. In this work, we propose a novel attribute-based multikeyword search for shared multiowner (ABMKS-SM) primitive in IoT to achieve enhanced access control for users; meanwhile, it can support multikeyword search over ciphertexts and give a formal security analysis in the adaptive against chosen keyword attack (IND-CKA) model. Finally, we have also implemented this prototype to show efficiency when compared with some previous schemes.

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Section: Related Workmentioning

confidence: 99%

“…e existing ABKS schemes [15][16][17][18][19][20] only support single keyword search functions, while it requires massive computational and broadband resources as this retrieval mode returns a lot of irrelevant results. e method to achieve multikeyword search [21][22][23] was introduced to alleviate the issues.…”

Section: Introductionmentioning

confidence: 99%

Fine-Grained Attribute-Based Multikeyword Search for Shared Multiowner in Internet of Things

Zhou

Nan

Wang

2021

Security and Communication Networks

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“…However, Sun et al [42] pointed out that four types of KGA exist in this scheme. To achieve hidden policy and traceability simultaneously, Liu et al [43] presented a privacy-preserving ABKS with user tracing. However, the security proof cannot ensure the policy hiding property due to its flawed security model.…”

Section: 22mentioning

confidence: 99%

“…However, the security proof cannot ensure the policy hiding property due to its flawed security model. Unlike with the formal security model in hidden policy CP-ABKS [18,41], the security model in [43] only shows the indistinguishability of keywords and does not consider the indistinguishability of access policies.…”

Section: 22mentioning

confidence: 99%

Privacy-Preserving Attribute-Based Keyword Search with Traceability and Revocation for Cloud-Assisted IoT

Zhang

2021

Security and Communication Networks

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With the rapid development of cloud computing and Internet of Things (IoT) technology, it is becoming increasingly popular for source-limited devices to outsource the massive IoT data to the cloud. How to protect data security and user privacy is an important challenge in the cloud-assisted IoT environment. Attribute-based keyword search (ABKS) has been regarded as a promising solution to ensure data confidentiality and fine-grained search control for cloud-assisted IoT. However, due to the fact that multiple users may have the same retrieval permission in ABKS, malicious users may sell their private keys on the Internet without fear of being caught. In addition, most of existing ABKS schemes do not protect the access policy which may contain privacy information. Towards this end, we present a privacy-preserving ABKS that simultaneously supports policy hiding, malicious user traceability, and revocation. Formal security analysis shows that our scheme can not only guarantee the confidentiality of keywords and access policies but also realize the traceability of malicious users. Furthermore, we provide another more efficient construction for public tracing.

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Practical Attribute-Based Multi-keyword Search Scheme with Sensitive Information Hiding for Cloud Storage Systems

Zhao,

Huang,

et al. 2023

Lecture Notes in Computer Science

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Privacy-Preserving Attribute-Based Multi-keyword Search Encryption Scheme with User Tracing

Cited by 3 publications

References 18 publications

Fine-Grained Attribute-Based Multikeyword Search for Shared Multiowner in Internet of Things

Fine-Grained Attribute-Based Multikeyword Search for Shared Multiowner in Internet of Things

Privacy-Preserving Attribute-Based Keyword Search with Traceability and Revocation for Cloud-Assisted IoT

Practical Attribute-Based Multi-keyword Search Scheme with Sensitive Information Hiding for Cloud Storage Systems

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