This module explores using the BPF-extended tracking honeypot (BETH) dataset for anomaly detection research with a Quantum Neural Network (QNN). The BETH dataset currently represents 8,004,918 events collected over 23 honeypots, running for about five noncontiguous hours on a major cloud provider.