Certificateless Searchable Encryption With Trapdoor Unlinkability for Industrial Internet of Things

Industrial Internet of Things (IIoT) is a promising application of Internet of Things (IoT) in the industrial sector, which greatly improves the manufacturing efficiency and enables the intelligent production. Nowadays, cloud computing has been introduced to handle the data management problem in IIo...

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Vydáno v:IEEE systems journal Ročník 17; číslo 3; s. 1 - 12
Hlavní autoři: Sun, Lixue, Xu, Chunxiang, Zhang, Xiaojun, Zeng, Fugeng
Médium: Journal Article
Jazyk:angličtina
Vydáno: New York IEEE 01.09.2023
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:
Algorithms
Certificateless searchable encryption (CLSE)
Cloud computing
Data management
Data search
Encryption
Industrial applications
Industrial Internet of Things
industrial Internet of Things (IoT)
insider keyword guessing attacks
Keyword search
multiple keywords
Performance evaluation
Receivers
Servers
Sun
trapdoor unlinkability
ISSN:1932-8184, 1937-9234
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Shrnutí:Industrial Internet of Things (IIoT) is a promising application of Internet of Things (IoT) in the industrial sector, which greatly improves the manufacturing efficiency and enables the intelligent production. Nowadays, cloud computing has been introduced to handle the data management problem in IIoT. Nevertheless, how to retrieve ciphertext data remains a challenging problem. Recently, certificateless searchable encryption (CLSE) was proposed to tackle with this problem. CLSE allows the receiver to search the ciphertext data directly, meanwhile it protects the data privacy. However, existing CLSE schemes do not achieve the trapdoor unlinkability since deterministic algorithms are used to generate the trapdoors. Additionally, they cannot support multiple keywords search in one-time test operation. To address these issues, we propose a certificateless searchable encryption scheme with trapdoor unlinkability (CLSETU) for IIoT. We then demonstrate the semantic security of our scheme against insider keyword guessing attacks (KGA). Finally, the performance evaluation shows its feasibility in the deployment of IIoT.
Bibliografie:ObjectType-Article-1
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ISSN:1932-8184
1937-9234
DOI:10.1109/JSYST.2023.3247763