T-Mobile Innovations LLC (20250097709). SYSTEMS AND METHODS FOR QUANTUM-BASED NETWORK TRAFFIC ANOMALY DETECTION
SYSTEMS AND METHODS FOR QUANTUM-BASED NETWORK TRAFFIC ANOMALY DETECTION
Organization Name
Inventor(s)
Marouane Balmakhtar of Fairfax VA US
Lyle Walter Paczkowski of Mission Hills KS US
SYSTEMS AND METHODS FOR QUANTUM-BASED NETWORK TRAFFIC ANOMALY DETECTION
This abstract first appeared for US patent application 20250097709 titled 'SYSTEMS AND METHODS FOR QUANTUM-BASED NETWORK TRAFFIC ANOMALY DETECTION
Original Abstract Submitted
in various embodiments, systems and methods for quantum-based network traffic anomaly detection are disclosed. embodiments for a network integrity monitor are disclosed that leverage a quantum computing-based network assessment function to evaluate network event data for the purposes of identifying and/or predicting anomalies indicative of network threats. to identify network anomalies, the network assessment function may treat the anomaly identification as a quantum search task by searching the task data using an amplitude amplification quantum search algorithm and/or using quantum machine learning models to infer a threat prediction that may include a single or multiclass classification characterizing the task data. such classification(s) may be further assessed by the network integrity monitor as the basis to trigger one or more mitigating steps.
