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Could failures in real-time data collection channels disrupt model performance?
Could failures in real-time data collection channels disrupt model performance?
- Are these channels trustworthy?
- What will happen in case of failure?
- Think for instance about IoT devices used as sensors.
If you answered Yes then you are at risk
If you are not sure, then you might be at risk too
Recommendations
- If you are collecting/receiving data from sensors, consider estimating the impact it could have on your model if any of the sensors fail and your input data gets interrupted or corrupted.
- Sensor blinding attacks are one example of a risk faced by poorly designed input gathering systems. Note that consistent feature identification related to sensors is likely to require human calibration. Source: BerryVilleiML