A Novel Edge Computing Offloading and Privacy-preserving Scheme for Energy Internet
Kunchang Li, Xu Han, Y. F. Yang, Shuhao Wang, Runhua Shi, Jianbin Li · 2021
With the rapid development of Internet of things technology, “massive” data generated by Internet of things terminals, which leads to the problem of excessive cloud computing pressure and network delay. Therefore, edge computing emerges as the time requires. At the same time, the privacy security of edge computing is particularly important. In this paper, ZSS short signature algorithm and Paillier homomorphic cryptosystem are used to propose a secure and efficient edge computing privacy-preserving in energy Internet. The scheme can achieve data confidentiality and privacy-preserving. Finally, the model of unloading is established to solve the problem quickly. Experimental results show that our scheme has less computation and communication overhead.