Machine Learning-Based Cyber Intrusion Detection System for Internet of Medical Things Attacks in Healthcare Environments
Bhawnesh Kumar, Ashwani Kumar, Harendra Singh Negi, Javed Alam · Advances in information security, privacy, and ethics book series · 2023
In this chapter, the authors calculate the accuracy value of machine learning models for combined, network, bio-medical data. The result shows that random forest has the highest accuracy value 94.17% for combined and 93.19% bio-medical data. For network data, decision tree classifier provides the highest accuracy value which is 94.07% whereas decision tree regression gives the highest accuracy value: 94.62% for combined, 92.11% for bio-medical, and 94.09% for network data.