CRMar 24, 2016
A note on "achieving security, robust cheating resistance, and high-efficiency for outsourcing large matrix multiplication computation to a malicious cloud"
arXiv:1603.07399v13 citations
Originality Synthesis-oriented
AI Analysis
This is an incremental critique for researchers in secure cloud computing, highlighting flaws in an existing method.
The paper identifies a failure in Lei et al.'s scheme for outsourcing large matrix multiplication, showing that the verifying equation does not hold over the infinite field R and that communication costs may outweigh computational gains.
We show that the Lei et al.'s scheme [Information Sciences, 280 (2014), 205-217] fails, because the verifying equation does not hold over the infinite field R. For the field R, the computational errors should be considered seriously. We also remark that the incurred communication cost in the scheme could be overtake the computational gain, which makes it somewhat artificial.