SecureML Based Classification for Internet of Things Based Secured Transaction of Data

Abstract

The Internet of Things (IoTs) is a rapidly developing technology that enables a wide range of applications to interact with each other. The IoT is an emerging technology that can be used to collect, and analyse data from various sources. In this paper, we present SecureML, a unique privacy-preserving CART training scheme that employs blockchain principles to develop a secure CART classifier for use in multipart scenarios in which data is collected from many data sources. SecureML uses the homomorphic cryptosystem to develop secure building blocks such as secure polynomial multiplication and safe comparison. The proposed method is capable of training classifiers in a risk-free manner while retaining an acceptable degree of accuracy.