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A Secure and Efficient Heterogeneous Signcryption Scheme for IIoT

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Frontiers in Cyber Security (FCS 2022)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1726))

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Abstract

With the development of the Internet of Things (IoT), the Industrial Internet of Things (IIoT), as an extension of the IoT, has become more and more widely used in the industrial field. It collects various data in the IIoT environment through sensors. For security reasons, these data cannot be presented in plaintext. To ensure the security of these data, a signcryption primitive is presented. In practice, numerous sensors and servers are not in the same environment, so we need a heterogeneous signcryption scheme to solve this problem. In this paper, we introduce a heterogeneous signcryption scheme with the critical characteristic of allowing devices in certificateless cryptography (CLC) environments send messages to devices in identity-based cryptography (IBC) environments. In the random oracle model (ROM), for its security aspects, we present the relevant proofs. We also compared it with other schemes in terms of communication overhead. A comprehensive analysis has shown that our scheme improves efficiency and also increases security.

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Authors and Affiliations

  1. Faculty of Computer and Software Engineering, Huaiyin Institute of Technology, Huai’an, 233003, China

    Chunhua Jin, Chenhao Li, Wenyu Qin, Xiaobing Chen & Guanhua Chen

Authors
  1. Chunhua Jin
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  2. Chenhao Li
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  3. Wenyu Qin
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  4. Xiaobing Chen
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  5. Guanhua Chen
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Corresponding author

Correspondence to Chunhua Jin .

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Editors and Affiliations

  1. Kwame Nkrumah University of Science and Technology, Kumasi, Ghana

    Emmanuel Ahene

  2. University of Electronic Science and Technology of China, Chengdu, China

    Fagen Li

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Jin, C., Li, C., Qin, W., Chen, X., Chen, G. (2022). A Secure and Efficient Heterogeneous Signcryption Scheme for IIoT. In: Ahene, E., Li, F. (eds) Frontiers in Cyber Security. FCS 2022. Communications in Computer and Information Science, vol 1726. Springer, Singapore. https://doi.org/10.1007/978-981-19-8445-7_1

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  • DOI: https://doi.org/10.1007/978-981-19-8445-7_1

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-19-8444-0

  • Online ISBN: 978-981-19-8445-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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