Publicly Verifiable Outsourcing Computation for Inner Product Evaluation under Multiple Keys with Improved Security and Efficiency

Zhiqiang Du ； Dong Zheng ； Qinglan Zhao

《International Journal of Network Security》 24卷1期 (2022/01) Pp. 92-103

https://doi.org/10.6633/IJNS.202201_24(1).11

摘要

In an IoT network, sending the big data streams to the cloud for group-by-sum and the inner product has become a basic technique. There are two aspects to be considered. First, due to the indeterminacy of the cloud, security and efficiency have become two essential indicators to measure an outsourcing scheme. Second, it is practical that the scheme should support any two data sources to perform inner product, and each data source should be equipped with a unique key, which can help clients trace back to the original data source. In this paper, firstly, we find there are still some security flaws in the previous works. Concretely, the tags can be forged, and the input data can be replaced. Next, we focus on the group-by sum and inner product under the multi-keys and propose two publicly verifiable schemes. It is worth mentioning that our schemes have no security and are secure under the co-CDH assumption. Finally, the experiment evaluation illustrates the efficiency of our scheme.

關鍵字

Cloud Outsourcing ； Group-By Sum ； Inner Product ； IoT ； Multiple Keys ； Publicly Verifiable Computation