infinite-dataset-hub/InternetCommsTraffic

InternetCommsTraffic数据集是为了分析网络流量模式而设计，旨在改进异常检测和流量分类系统。该数据集包含了从大规模网络基础设施捕获的各种网络流量数据。每个记录代表一段时间内捕获的离散网络流量，适用于科研人员和工程师进行机器学习模型研究，以便高效地识别和分类网络流量，用于安全、性能和管理。

The InternetCommsTraffic dataset is designed for the analysis of network traffic patterns with the aim of improving anomaly detection and traffic classification systems. It comprises of various network traffic data captured from a large-scale network infrastructure. Each record in the dataset represents a discrete flow of network traffic, captured over a period of time. The dataset is intended for researchers and engineers working on machine learning models that can efficiently identify and categorize network traffic for security, performance, and management purposes.