| Title | A non-interactive verifiable computation model of perceptual layer data based on CP-ABE |
| Publication Type | Conference Paper |
| Year of Publication | 2022 |
| Authors | Zhao, Jianming, Miao, Weiwei, Zeng, Zeng |
| Conference Name | 2022 2nd International Conference on Consumer Electronics and Computer Engineering (ICCECE) |
| Keywords | Analytical models, Collaboration, Computational modeling, Costs, CP-ABE, Data models, Internet of Things, non-interactive verifiable computation, NPOT, policy-based governance, pubcrawl, Safety, Scalability, security |
| Abstract | The computing of smart devices at the perception layer of the power Internet of Things is often insufficient, and complex computing can be outsourced to server resources such as the cloud computing, but the allocation process is not safe and controllable. Under special constraints of the power Internet of Things such as multi-users and heterogeneous terminals, we propose a CP-ABE-based non-interactive verifiable computation model of perceptual layer data. This model is based on CP-ABE, NPOT, FHE and other relevant safety and verifiable theories, and designs a new multi-user non-interactive secure verifiable computing scheme to ensure that only users with the decryption key can participate in the execution of NPOT Scheme. In terms of the calculation process design of the model, we gave a detailed description of the system model, security model, plan. Based on the definition given, the correctness and safety of the non-interactive safety verifiable model design in the power Internet of Things environment are proved, and the interaction cost of the model is analyzed. Finally, it proves that the CP-ABE-based non-interactive verifiable computation model for the perceptual layer proposed in this paper has greatly improved security, applicability, and verifiability, and is able to meet the security outsourcing of computing in the power Internet of Things environment. |
| DOI | 10.1109/ICCECE54139.2022.9712781 |
| Citation Key | zhao_non-interactive_2022 |
A non-interactive verifiable computation model of perceptual layer data based on CP-ABE