论文标题
基于区块链的基于机器学习算法的攻击检测基于物联网的电子健康应用程序
Blockchain based Attack Detection on Machine Learning Algorithms for IoT based E-Health Applications
论文作者
论文摘要
由于数字化和物联网（IoT）等新的TECNOLOGIES的出现，机器学习（ML）算法的应用大大扩展。在当今的数字时代，我们可以发现在医疗保健，物联网，工程，金融等领域应用ML算法。但是，所有这些算法都需要接受培训，以预测/解决特定问题。篡改训练数据集并产生有偏见的结果。因此，在本文中，我们提出了基于区块链的解决方案，以确保从IoT设备为电子医疗应用程序生成的数据集。拟议的基于区块链的解决方案使用使用私有云来解决上述问题。为了进行评估，我们已经开发了一个可以由数据集所有者使用的系统来保护其数据。
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.
