Industrial IoT Zero-Day Telemetry Dataset

This dataset is derived from industrial IoT telemetry observed in a Zurich smart hospital and its internal logistics infrastructure for experimental assessment. Operational monitoring systems in automated medical equipment, internal transport units, storage facilities, and edge coordination platforms support continuous healthcare and logistical operations.

The released dataset represents a reconstructed telemetry benchmark that preserves the statistical properties, temporal dynamics, and imbalance characteristics observed in real industrial environments, including heterogeneous device behavior, heavy-tailed communication patterns, non-stationary operating modes, and rare security anomalies.

Multivariate time-series records are provided at 8-minute resolution from 01 March 2022 to 30 April 2025, resulting in 208,260 timestamped observations. Features span system and device state, network communication behavior, temporal statistics, manufacturing and logistics operations, cross-entity coordination, and security and policy compliance indicators.

The target variable, ZeroDay_Attack_Label, denotes rare zero-day attack events under severe class imbalance. The dataset contains no personal or patient-identifiable information and is suitable for research on zero-day attack detection in industrial IoT systems.