Fraudulent host device connection detection

This system aims to stop fraudulent connections made by technicians. When a technician's computer tries to link up with another device, a central control system, positioned between the technician's device and a cloud service, intercepts the request. It gathers specific details about the connection and the technician's account, like IP addresses and timestamps. Using this data, it calculates a fraud level. If the fraud level is too high, the system immediately cuts the connection and logs a support issue.

Why it matters: Filed before the widespread accessibility of advanced AI/ML for real-time anomaly detection. The system's fraud scoring, which was likely rule-based in 2022, could now be significantly enhanced by more sophisticated machine learning models, improving accuracy and adaptability.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedHeavy software system, data integration, real-time processing

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