Evidence map›Paper›PMID 37128501›Full record

ArticleComputer communications2023

Attribute-based multi-user collaborative searchable encryption in COVID-19.

Fan Zhao, Changgen Peng, Dequan Xu, Yicen Liu, Kun Niu, Hanlin Tang

Abstract read
In one paragraph

Article in Computer communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Fan ZhaoState Key Laboratory of Public Big Data, College of Computer Science and Technology, Guizhou University, Guiyang 550025, China.
Changgen PengState Key Laboratory of Public Big Data, College of Computer Science and Technology, Guizhou University, Guiyang 550025, China.
Dequan XuState Key Laboratory of Public Big Data, College of Computer Science and Technology, Guizhou University, Guiyang 550025, China.
Yicen LiuNational Key Laboratory of Signal Blind Processing, Chengdu 610000, China.
Kun NiuState Key Laboratory of Public Big Data, College of Computer Science and Technology, Guizhou University, Guiyang 550025, China.
Hanlin TangGuizhou Data Treasure Network Technology Co., Ltd., Guiyang 550000, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the outbreak of COVID-19, the government has been forced to collect a large amount of detailed information about patients in order to effectively curb the epidemic of the disease, including private data of patients. Searchable encryption is an essential technology for ciphertext retrieval in cloud computing environments, and many searchable encryption schemes are based on attributes to control user's search permissions to protect their data privacy. The existing attribute-based searchable encryption (ABSE) scheme can only implement the situation where the search permission of one person meets the search policy and does not support users to obtain the search permission through collaboration. In this paper, we proposed a new attribute-based collaborative searchable encryption scheme in multi-user setting (ABCSE-MU), which takes the access tree as the access policy and introduces the translation nodes to implement collaborative search. The cooperation can only be reached on the translation node and the flexibility of search permission is achieved on the premise of data security. ABCSE-MU scheme solves the problem that a single user has insufficient search permissions but still needs to search, making the user's access policy more flexible. We use random blinding to ensure the confidentiality and security of the secret key, further prove that our scheme is secure under the Decisional Bilinear Diffie-Hellman (DBDH) assumption. Security analysis further shows that the scheme can ensure the confidentiality of data under chosen-keyword attacks and resist collusion attacks.

Indexed as

Attribute-based searchable encryptionCollaborative searchSearchable encryptionSecurity and privacy

Identifiers

PMID37128501
PMCPMC10133804

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