KEY CHALLENGES
The Analysis of Big Data Takes Time and Effort
The main challenge is to overcome the problem of scale. As IoT networks become larger (from dozens of thousands, to millions of devices), most of current off-the-shelf anomaly detection algorithms fail to deliver results within a reasonable timeframe. Performing anomaly detection on extremely large datasets can take hours and even days. These solutions are not viable when an IoT cyber-attack or significant operational events threatens to take down key physical services, cause significant financial damage and even loss of life.