Data validation

A method, comprising:

• receiving sensor data from a set of distributed sensors, the set of distributed sensors associated with attributes describing model information of the sensors, attributes describing expected data to be received from the sensors, and attributes describing expected anomalous behaviors of the sensors;
• marking sensor data as anomalous data when the anomalous data exceeds a variance level associated with a sensor from which the anomalous data was received;
• validating, based on a set of patterns describing anomalous sensor activity, whether the anomalous data is a result of one of a sensor malfunction and an event of significance;
• updating the set of patterns based on whether the anomalous data is validated as the sensor malfunction and the event of significance;
• and
• distributing a plurality of verified data comprising sensor data within the variance level and validated anomalous data.

A non-transitory computer-readable medium storing computer-executable instructions that when executed by a computer cause the computer to:

• receive sensor data from a set of distributed sensors, the set of distributed
• sensors associated with attributes describing model information of the sensors,
• attributes describing expected data to be received from the sensors, and
• attributes describing expected anomalous behaviors of the sensors;
• mark sensor data as anomalous data when the anomalous data exceeds a variance level associated with a sensor from which the anomalous data was received;
• store non-anomalous data in a validated data store;
• store in the validated data store, anomalous data found, based on a set of patterns describing anomalous sensor activity, to be a result of an event of significance;
• update the set of patterns;
• and
• distribute data from the validated data store.