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A post-quantum secure communication system for cloud manufacturing safety

Author

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  • Haibo Yi

    (Shenzhen Polytechnic
    City University of Seattle)

Abstract

In recent years, as one of the new advanced manufacturing modes, cloud manufacturing has been received wide attentions around the world. The technology of cloud manufacturing intergrades the services-oriented techniques as well as manufacturing processes based on cloud computing. With the aid of the cloud computing platforms, the manufacturing services are provided in manufacturing clouds. However, one of the key challenges of cloud manufacturing is the security and safety of information transmission. Traditional network security architectures are based on RSA and elliptic curve cryptographic systems, which is claimed to be broken on quantum computers. We exploit the countermeasures of post-quantum algorithms to protect cloud manufacturing against quantum computer attacks. We propose a post-quantum secure scheme for cloud manufacturing. First, in order to retain confidentiality in cloud manufacturing, we propose a post-quantum asymmetric-key encryption scheme to encrypt the message with the generated session key. Second, in order to retain authentication security in cloud manufacturing, we propose a post-quantum public-key signature generation scheme. Third, based on the encryption scheme and signature generation scheme, we propose a post-quantum secure communication system for cloud manufacturing. We implement our design on cloud-based environment and the comparison with related designs show that our design is suitable for protecting communication in cloud manufacturing. Besides, the post-quantum secure communication system can be extended to other applications of intelligent manufacturing.

Suggested Citation

  • Haibo Yi, 2021. "A post-quantum secure communication system for cloud manufacturing safety," Journal of Intelligent Manufacturing, Springer, vol. 32(3), pages 679-688, March.
    • Handle: RePEc:spr:joinma:v:32:y:2021:i:3:d:10.1007_s10845-020-01682-y
    DOI: 10.1007/s10845-020-01682-y
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    References listed on IDEAS

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    1. Yingfeng Zhang & Geng Zhang & Yang Liu & Di Hu, 2017. "Research on services encapsulation and virtualization access model of machine for cloud manufacturing," Journal of Intelligent Manufacturing, Springer, vol. 28(5), pages 1109-1123, June.
    2. Minghai Yuan & Hongyan Yu & Jinting Huang & Aimin Ji, 2019. "Reconfigurable assembly line balancing for cloud manufacturing," Journal of Intelligent Manufacturing, Springer, vol. 30(6), pages 2391-2405, August.
    3. Jinjiang Wang & Laibin Zhang & Lixiang Duan & Robert X. Gao, 2017. "A new paradigm of cloud-based predictive maintenance for intelligent manufacturing," Journal of Intelligent Manufacturing, Springer, vol. 28(5), pages 1125-1137, June.
    4. Malik Khalfallah & Nicolas Figay & Catarina Ferreira Da Silva & Parisa Ghodous, 2016. "A cloud-based platform to ensure interoperability in aerospace industry," Journal of Intelligent Manufacturing, Springer, vol. 27(1), pages 119-129, February.
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