Based Attack Detection on Machine Learning Algorithm

Due to increased digitization and the advent of new technologies such as the Internet of Things, the use of machine learning (ML) algorithms is rapidly expanding (IoT). ML algorithms are being used in healthcare, IoT, engineering, finance, and other fields in today’s digital world. However, in order to predict/solve a specific problem, all of these algorithms must be taught. There’s a good chance that the training datasets have been tampered with, resulting in skewed findings. As a result, we have proposed a blockchain-based approach to protect datasets generated by IoT devices for E-Health applications in this article. To address the aforementioned issue, the proposed blockchain-based solution makes use of a private cloud. For assessment, we created a solution that dataset owners can use to secure their data.