Abstract
With the increasing maturity of Industrial Internet of Things (IIoT) technology, resource-constrained devices are widely applied to segments of the factory, which puts significant pressure on their computational capacity. In order to address this issue securely, we propose a verifiable and privacy-preserving outsourced computation system that employs SRAM PUF to safeguard the hardware security of devices and blockchain to achieve public verifiability and data privacy, thereby greatly guaranteeing the security of outsourced computation in the IIoT environment. Additionally, we protect the rights of calculators using a mechanism that identifies malicious calculators. Finally, compared with other existing schemes, the experimental results demonstrate that our scheme provides more efficient and secure outsourced computation services for IIoT devices.
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Li, J., Lei, X., Su, J., Zhao, H., Guan, Z., Li, D. (2023). Verifiable, Fair and Privacy-Preserving Outsourced Computation Based on Blockchain and PUF. In: Qiu, M., Lu, Z., Zhang, C. (eds) Smart Computing and Communication. SmartCom 2022. Lecture Notes in Computer Science, vol 13828. Springer, Cham. https://doi.org/10.1007/978-3-031-28124-2_54
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DOI: https://doi.org/10.1007/978-3-031-28124-2_54
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