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Security and Privacy in New Computing Environments. 4th EAI International Conference, SPNCE 2021, Virtual Event, December 10-11, 2021, Proceedings

Research Article

A Lightweight PSIS Scheme Based on Multi-node Collaboration in the IoT

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  • @INPROCEEDINGS{10.1007/978-3-030-96791-8_6,
        author={Lina Zhang and Bo Yang and Tao Wang and Tong Wang},
        title={A Lightweight PSIS Scheme Based on Multi-node Collaboration in the IoT},
        proceedings={Security and Privacy in New Computing Environments. 4th EAI International Conference, SPNCE 2021, Virtual Event, December 10-11, 2021, Proceedings},
        proceedings_a={SPNCE},
        year={2022},
        month={3},
        keywords={IoT PSIS Multi-node Modulo operations Interpolated polynomial},
        doi={10.1007/978-3-030-96791-8_6}
    }
    
  • Lina Zhang
    Bo Yang
    Tao Wang
    Tong Wang
    Year: 2022
    A Lightweight PSIS Scheme Based on Multi-node Collaboration in the IoT
    SPNCE
    Springer
    DOI: 10.1007/978-3-030-96791-8_6
Lina Zhang1, Bo Yang1,*, Tao Wang1, Tong Wang2
  • 1: Shaanxi Normal University, Xi’an
  • 2: Xi’an University of Science and Technology
*Contact email: byang@snnu.edu.cn

Abstract

Traditional threshold-based SIS schemes can no longer meet some application scenarios. In contrast, Progressive Secret Image Sharing (PSIS) schemes have been continuously studied. In order to meet the different data storage methods in the nodes in the IoT, as well as the small size and limited energy of the nodes, a lightweight PSIS scheme based on multi-node collaboration in the IoT is proposed. This solution gradually recovers the secret image through the collaboration of multiple nodes in the IoT, which overcomes the drawbacks of the traditional threshold schemes and also brings convenience to the secure transmission of secret images in the IoT. Experiments have proved that the scheme has certain practicability.

Keywords
IoT PSIS Multi-node Modulo operations Interpolated polynomial
Published
2022-03-13
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-030-96791-8_6
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