Certificateless public key authenticated encryption with keyword search for industrial internet of things

Debiao He; Mimi Ma; Sherali Zeadally; Neeraj Kumar; Kaitai Liang

doi:10.1109/TII.2017.2771382

Certificateless public key authenticated encryption with keyword search for industrial internet of things

Debiao He, Mimi Ma, Sherali Zeadally, Neeraj Kumar, Kaitai Liang

School of Information Science

Research output: Contribution to journal › Article › peer-review

129 Scopus citations

Abstract

Industrial Internet of Things (IIoT) integrates various types of intelligent terminals, mobile devices, and communication technologies to enable the upgrade of traditional industries to intelligent industries. IIoT relies on the powerful data processing capabilities of cloud computing to reduce the cost of various on-demand services as per the requirements of users. However, the privacy and confidentiality of the outsourced data should be protected in this environment because the data are typically 'handled' by a third-party service provider. An encryption technique can guarantee the confidentiality of the data but it limits data retrieval due to its innate 'all-or-nothing' decryption feature. To apply encryption to privacy-preserving data retrieval, many public key encryption techniques with keyword search systems have been proposed in the literature. However, most of the existing schemes are vulnerable to inside keyword guessing attack (IKGA), which is caused by a small keyword space. To address this problem, we propose a certificateless public key authenticated encryption with keyword search scheme, which is provably secure against IKGA. A performance analysis of the proposed scheme demonstrates that it is more secure and effective compared with other certificateless public key encryption with keyword search schemes.

Original language	English
Article number	8100946
Pages (from-to)	3618-3627
Number of pages	10
Journal	IEEE Transactions on Industrial Informatics
Volume	14
Issue number	8
DOIs	https://doi.org/10.1109/TII.2017.2771382
State	Published - Aug 2018

Bibliographical note

Funding Information:
Manuscript received August 1, 2017; revised October 1, 2017; accepted November 3, 2017. Date of publication November 8, 2017; date of current version August 1, 2018. The work was supported in part by the National Key Research and Development Program of China under Grant 2017YFB0802504, in part by the National Natural Science Foundation of China under Grant 61501333, Grant 61572379, Grant 61472287, and Grant 61772377, and in part by the Natural Science Foundation of Hubei Province of China under Grant 2017CFA007. Paper no. TII-17-1736. (Corresponding author: Mimi Ma.) D. He is with the State Key Lab of Software Engineering, Computer School, Wuhan University, Wuhan 430072, China, and also with the State Key Laboratory of Cryptology, Beijing 100878, China (e-mail: hedebiao@163.com).

Publisher Copyright:
© 2005-2012 IEEE.

Keywords

Certificateless
encryption
industrial Internet of Things (IIoT)
inside keyword guessing attack (IKGA)
privacy

ASJC Scopus subject areas

Control and Systems Engineering
Information Systems
Computer Science Applications
Electrical and Electronic Engineering

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10.1109/TII.2017.2771382

Cite this

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title = "Certificateless public key authenticated encryption with keyword search for industrial internet of things",

abstract = "Industrial Internet of Things (IIoT) integrates various types of intelligent terminals, mobile devices, and communication technologies to enable the upgrade of traditional industries to intelligent industries. IIoT relies on the powerful data processing capabilities of cloud computing to reduce the cost of various on-demand services as per the requirements of users. However, the privacy and confidentiality of the outsourced data should be protected in this environment because the data are typically 'handled' by a third-party service provider. An encryption technique can guarantee the confidentiality of the data but it limits data retrieval due to its innate 'all-or-nothing' decryption feature. To apply encryption to privacy-preserving data retrieval, many public key encryption techniques with keyword search systems have been proposed in the literature. However, most of the existing schemes are vulnerable to inside keyword guessing attack (IKGA), which is caused by a small keyword space. To address this problem, we propose a certificateless public key authenticated encryption with keyword search scheme, which is provably secure against IKGA. A performance analysis of the proposed scheme demonstrates that it is more secure and effective compared with other certificateless public key encryption with keyword search schemes.",

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author = "Debiao He and Mimi Ma and Sherali Zeadally and Neeraj Kumar and Kaitai Liang",

note = "Funding Information: Manuscript received August 1, 2017; revised October 1, 2017; accepted November 3, 2017. Date of publication November 8, 2017; date of current version August 1, 2018. The work was supported in part by the National Key Research and Development Program of China under Grant 2017YFB0802504, in part by the National Natural Science Foundation of China under Grant 61501333, Grant 61572379, Grant 61472287, and Grant 61772377, and in part by the Natural Science Foundation of Hubei Province of China under Grant 2017CFA007. Paper no. TII-17-1736. (Corresponding author: Mimi Ma.) D. He is with the State Key Lab of Software Engineering, Computer School, Wuhan University, Wuhan 430072, China, and also with the State Key Laboratory of Cryptology, Beijing 100878, China (e-mail: hedebiao@163.com). Publisher Copyright: {\textcopyright} 2005-2012 IEEE.",

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N1 - Funding Information: Manuscript received August 1, 2017; revised October 1, 2017; accepted November 3, 2017. Date of publication November 8, 2017; date of current version August 1, 2018. The work was supported in part by the National Key Research and Development Program of China under Grant 2017YFB0802504, in part by the National Natural Science Foundation of China under Grant 61501333, Grant 61572379, Grant 61472287, and Grant 61772377, and in part by the Natural Science Foundation of Hubei Province of China under Grant 2017CFA007. Paper no. TII-17-1736. (Corresponding author: Mimi Ma.) D. He is with the State Key Lab of Software Engineering, Computer School, Wuhan University, Wuhan 430072, China, and also with the State Key Laboratory of Cryptology, Beijing 100878, China (e-mail: hedebiao@163.com). Publisher Copyright: © 2005-2012 IEEE.

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AB - Industrial Internet of Things (IIoT) integrates various types of intelligent terminals, mobile devices, and communication technologies to enable the upgrade of traditional industries to intelligent industries. IIoT relies on the powerful data processing capabilities of cloud computing to reduce the cost of various on-demand services as per the requirements of users. However, the privacy and confidentiality of the outsourced data should be protected in this environment because the data are typically 'handled' by a third-party service provider. An encryption technique can guarantee the confidentiality of the data but it limits data retrieval due to its innate 'all-or-nothing' decryption feature. To apply encryption to privacy-preserving data retrieval, many public key encryption techniques with keyword search systems have been proposed in the literature. However, most of the existing schemes are vulnerable to inside keyword guessing attack (IKGA), which is caused by a small keyword space. To address this problem, we propose a certificateless public key authenticated encryption with keyword search scheme, which is provably secure against IKGA. A performance analysis of the proposed scheme demonstrates that it is more secure and effective compared with other certificateless public key encryption with keyword search schemes.

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KW - inside keyword guessing attack (IKGA)

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Certificateless public key authenticated encryption with keyword search for industrial internet of things

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

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