Security anomaly detection for internet of things devices

This invention describes a system that learns the normal network communication patterns of an individual Internet of Things (IoT) device connected to a cellular network. It does this by observing its past call and mobility signaling data, which is identified by the device's unique ID. Once a normal pattern is established, the system continuously monitors the device's current network activity and flags any unusual behavior as a security anomaly, then takes corrective action.

Why it matters: Filed before widespread adoption of cloud-native machine learning platforms made real-time network data analysis and model deployment more scalable. The increasing complexity of IoT device interactions within 5G networks also amplifies the need for this specific type of control plane monitoring.

Status: ExpiredProtection ended and was never renewed
How hard to build: SpecializedHeavy software system, network integration, data modeling.

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