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.本数据集耗时一年半从各类网站与数据源汇编而成，共收录7449条良性与恶意医疗物联网（Internet of Medical Things, IoMT）数据包，这些数据包源自监测网络传输的电子医疗系统真实组件。数据集的质量在多个预处理阶段得到优化，具体包括处理噪声与字符串形式的无效值、数据清洗、字符串特征编码，以及通过数据转换函数对所有无序数据值进行重缩放。为统一网络特征的分析标准，本数据集仅保留与网络特性相关的特征，剔除所有可反映患者生命体征的无关特征。本数据集可用于分析智能医院网络内的医疗物联网流量行为。

搜集汇总

背景与挑战

背景概述

该数据集包含7449个来自真实医疗保健系统的良性及恶意IoMT数据包，收集期长达一年半，并经过多阶段预处理以提高数据质量。它专注于网络特征分析，排除了患者生命体征信息，旨在用于分析智能医院网络内的IoMT流量行为。