QKD-Forensic-Dataset: Large Dataset Release Version 2.0

This dataset presents Version 2.0 of the QKD-Forensic Dataset, a large-scale multi-modal temporal dataset designed for cybersecurity and digital forensic research in quantum key distribution (QKD) systems. The dataset contains 200,000 time-windowed samples derived from synchronized quantum-layer signals, classical communication behavior, and system level operational indicators. The dataset captures both normal operations and multiple adversarial scenarios. The system captures both normal operation and multiple adversarial scenarios that are relevant to practical QKD deployments. Version 2.0 extends the initial release by introducing higher temporal resolution, richer feature representations, structured scenario labeling, and improved validation coverage. The dataset supports machine learning, statistical analysis, and forensic investigation of attack behaviors while remaining protocol-agnostic. This release does not claim bit-level regeneration of the published dataset. Instead, it provides the official curated dataset along with transparent reference scripts that document the modeling and data construction process. The dataset is intended strictly for defensive, academic, and research purposes.