Raw Experimental Data for the Controlled-Environment Evaluation of Snort and Suricata for VoIP Intrusion Detection

This dataset contains the raw experimental results associated with the paper "Controlled-Environment Evaluation of Snort and Suricata for VoIP Intrusion Detection", presented at CCA 2026. The archive includes experimental outputs from the attack detection campaigns, single-worker and light-configuration evaluations, and background-load experiments. These data support the analysis of intrusion detection performance, detection time, false-positive rates, CPU utilization, and memory consumption for Snort and Suricata in a controlled VoIP environment. The corresponding source code, detection rules, configurations, analysis scripts, summary CSV files, and figures are available in the GitHub repository: https://github.com/dounia-dali/snort-suricata-voip-evaluation