Machine Learning Method Based on Stream Homomorphic Encryption Computing
Yizhuo Zhang, Yiwei Liu, Chan-Liang Chung, Yu-Chih Wei, Chi‐Hua Chen · 2020
This study proposes a machine learning method based on stream homomorphic encryption computing for improving security and reducing computational time. A case study of mobile positioning based on k nearest neighbors ( kNN) is selected to evaluate the proposed method. The results showed the proposed method can save computational resources than others.