Blockchain based Attack Detection on Machine Learning Algorithms for IoT based E-Health Applications
November 03, 2020 Β· Declared Dead Β· π IEEE Internet of Things Magazine
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Authors
Thippa Reddy Gadekallu, Manoj M K, Sivarama Krishnan S, Neeraj Kumar, Saqib Hakak, Sweta Bhattacharya
arXiv ID
2011.01457
Category
cs.CR: Cryptography & Security
Cross-listed
cs.LG
Citations
62
Venue
IEEE Internet of Things Magazine
Last Checked
5 months ago
Abstract
The application of machine learning (ML) algorithms are massively scaling-up due to rapid digitization and emergence of new tecnologies like Internet of Things (IoT). In today's digital era, we can find ML algorithms being applied in the areas of healthcare, IoT, engineering, finance and so on. However, all these algorithms need to be trained in order to predict/solve a particular problem. There is high possibility of tampering the training datasets and produce biased results. Hence, in this article, we have proposed blockchain based solution to secure the datasets generated from IoT devices for E-Health applications. The proposed blockchain based solution uses using private cloud to tackle the aforementioned issue. For evaluation, we have developed a system that can be used by dataset owners to secure their data.
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