SigNet-10: Signal-Level Network Traffic Dataset

This dataset, named SigNet-10, was developed to support research on network traffic classification using raw electrical signals captured at the physical layer. The core hypothesis behind this work is that different types of network traffic exhibit distinguishable patterns in their physical-layer waveforms due to variations in frame structure.

The dataset contains Ethernet frame signals corresponding to ten widely used protocol types: DHCP, DNS, FTP-Data, HTTP, ICMP, NBNS, RTP, RTSP, SMB, and TLS. All data were collected in accordance with the 10Base-T Ethernet standard and are intended for research on signal-level network traffic classification.

To construct the dataset, protocol-specific packet capture (PCAP) files were collected from various sources. These files were then retransmitted over a 10Base-T Ethernet link, and the corresponding electrical signals were captured from the Ethernet cable using an oscilloscope. In total, 12,916 unique signal samples (representing individual Ethernet frames) were extracted.

In addition to the raw signal files (provided in .csv format), the dataset also includes the original PCAP files used during acquisition.

This dataset can be used for signal-based network traffic classification, physical-layer analysis, and deep learning research. It offers a novel perspective on traffic analysis beyond conventional packet- or flow-level features.