benign and injected IoMT packet database

The dataset was compiled over a year and a half from various websites and sources, and it contains 7449 benign and malicious IoMT packets presented by real-world components of the e-healthcare system that monitor network transmission. Data quality is improved at several preprocessing stages, including dealing with noises and unwanted values as strings, cleaning, encoding string features, and rescaling all disordered data values using data transformation functions. To standardize the analysis of network features, we only consider features related to networking characteristics and reject all other features that provide insights into the patient's vital signs.

This data set is for analyzing the IoMT traffic behavior within the smart hospital's networks.