DDoS Detection Dataset: Synthetic PCAPs, Standard Benchmarks, and Quantum-Classical Hybrid Results.

This dataset contains three components for DDoS detection research using quantum-classical hybrid machine learning: 1. SYNTHETIC DATA (01_synthetic_data.zip) - 80 PCAP files generated using Scapy (SYN, HTTP, UDP attacks + Normal traffic) - Extracted CSV features for each PCAP - Processed datasets ready for model training 2. STANDARD BENCHMARKS (02_standard_datasets_processed.zip) - 5 preprocessed datasets mapped to 6 consistent features (f1-f6): * NSL-KDD * UNSW-NB15 * CIC-IDS2017 * CIC-DDoS2019 * KDD Cup 1999 - Each dataset balanced to 500 normal + 500 attack samples 3. EXPERIMENTAL RESULTS (03_results.zip) - Classical SVM, Quantum SVM, Classical NN, Quantum NN results - ROC curves, scores, cross-validation metrics - Per-dataset performance tables Associated code repository: https://github.com/hgdttf/ddos-quantum-framework