Cyber-Physical Hydrogen Logistics Monitoring Dataset (H2-LogSec-MTL 2025)

Feature Category Type Description Asset and Route Context Original Identifies the infrastructure source of each record including asset type, fleet operator, route identifier, region, and delivery mission configuration within the hydrogen logistics network. Temporal Context Original Captures operational time structure using timestamp-derived variables such as hour of day, day of week, month, shift indicator, weekend flag, holiday indicator, and peak operational periods. Hydrogen Storage and Process Monitoring Original Represents the physical state of hydrogen storage and transfer operations including tank pressure, temperature, hydrogen purity, fill level, flow rate, valve position, compression cycles, pressure variations, venting behavior, and residual hydrogen mass. Vehicle and Transport Telemetry Original Describes mechanical and motion dynamics of tanker vehicles and logistics assets through measurements such as speed, motor load, energy level, acceleration patterns, braking events, vibration intensity, tire pressure, mileage, idle time, and cargo stability. Environmental and Route Conditions Original Captures external environmental and route conditions including ambient temperature, humidity, wind speed, rainfall, solar radiation, road conditions, traffic congestion, and terrain slope that influence hydrogen transport safety and efficiency. IoT Sensor Health Indicators Original Reflects sensing reliability and communication quality through variables such as sensor health score, drift index, calibration age, packet loss rate, signal strength, telemetry latency, missing-value ratio, sensor disagreement score, and communication jitter. Cybersecurity and Network Behavior Original Describes network security behavior and potential cyber threats using indicators including authentication failures, abnormal login attempts, packet rates, malformed packets, protocol deviations, unexpected command activity, encryption status, firmware integrity, IDS alerts, port scanning activity, replay patterns, and spoofing indicators. Logistics Operational Indicators Original Represents logistics execution and supply chain conditions including departure delays, travel time, queue time, loading and unloading duration, destination distance, demand forecast, current inventory levels, reorder urgency, dispatch priority, and late delivery history. Cyber–Physical Interaction Metrics Derived High-level indicators capturing relationships between operational, physical, and cyber states including pressure–temperature coupling, hydrogen stability, transfer efficiency, route risk, tank stress, operational resilience, cyber–physical divergence, demand–supply mismatch, leakage risk proxy, and delay propagation dynamics. Attack Event Label Target Variable Multi-class classification label representing cybersecurity events including normal operation, GPS spoofing, replay attacks, false data injection, unauthorized access, sensor tampering, denial of service, and command manipulation attacks. Delivery Disruption Level Target Variable Multi-class logistics disruption indicator representing operational impact levels ranging from normal delivery conditions to mission failure scenarios. Hydrogen Leakage Rate Target Variable Continuous regression variable representing the estimated hydrogen leakage intensity associated with storage, transfer, or transport operations.