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

Kesava Rao Alla; Gunasekar Thangarasu

doi:10.37934/araset.39.2.8695

Authors

Kesava Rao Alla Chancellery, MAHSA University, Saujana Putra, 42610 Jenjarom, Selangor, Malaysia
Gunasekar Thangarasu Department of Professional, Industry Driven Education, MAHSA University, Saujana Putra, 42610 Jenjarom, Selangor, Malaysia

DOI:

https://doi.org/10.37934/araset.39.2.8695

Keywords:

Secure, Machine learning, Classification, Internet of Things, Data transmission

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.