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.
翻译:机器学习算法的应用由于迅速数字化和诸如Things Internet(IoT)等新技术学的出现而大规模扩大。在当今的数字时代,我们可以发现ML算法正在卫生保健、IoT、工程、金融等领域应用。然而,所有这些算法都需要经过培训才能预测/解决一个具体问题。极有可能篡改培训数据集并产生偏差的结果。因此,我们在本篇文章中提出了基于链式的解决方案,以确保电子健康应用的IoT设备生成的数据集的安全。拟议的基于块式链的解算法使用私人云来解决上述问题。为了评估,我们开发了一个系统,数据元件拥有者可以用来保护其数据。