Roaming Presence Analysis for Off-Network Spoofed Call Detection
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Solution Overview
Problem
Existing communication networks lack a reliable method to detect and block spoofed phone numbers from off-network sources, particularly in cases where a nefarious actor spoofs a phone number from another wireless carrier, making it difficult to determine the legitimacy of incoming calls.
Innovation Solution
Implementing a system where wireless carriers share real-time or periodic roaming status information among themselves, optionally with subscriber consent, to verify the validity of incoming calls, using AI/ML-based prediction models to identify nuisance traffic events.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If wireless carriers share real-time roaming status information among themselves, then the ability to detect spoofed calls is improved, but the system complexity and information security requirements increase
Solution Approach 1:
The system segments the detection process into distinct functional modules: a roaming status database that stores carrier network information, a presence analysis engine that queries the database, and an NTE determination module that combines multiple data sources. This modular architecture improves detection reliability while managing system complexity through organized functional separation.
Solution Approach 2:
The patent introduces an intermediary processing system that acts as a mediator between carriers and end devices. This intermediary performs presence analysis by querying roaming status databases and coordinating with multiple carriers simultaneously, reducing the complexity burden on individual carriers while improving overall detection accuracy.
2Measurement precision
If presence analysis is performed by querying roaming status databases, then the validity determination of incoming calls is improved, but the processing time and computational resources increase
Solution Approach 1:
The system performs preliminary actions by pre-populating roaming status databases with carrier network information before detection is needed. When a call arrives, the presence analysis engine can immediately query pre-existing data rather than performing complex real-time analysis, improving processing speed while maintaining accuracy.
Solution Approach 2:
The patent implements local quality optimization by allowing individual carriers to maintain their own roaming status databases with locally-optimized data structures and query mechanisms. Each carrier can tailor their database implementation to their specific network characteristics, improving both accuracy and processing efficiency for local queries.
3Reliability
If multiple data sources including AI/ML prediction models are combined for NTE detection, then the detection reliability is improved, but the device complexity and data processing requirements increase
Solution Approach 1:
The system merges multiple independent detection mechanisms into a unified NTE determination process. The presence analysis results from roaming status databases are combined with AI/ML prediction models and other data sources through a coordinated processing framework. This merging improves detection reliability by leveraging complementary strengths of different approaches while managing complexity through integrated architecture.
Data Source
AI summary
A processing system may determine a nuisance traffic event. The processing system may receive from a first entity a request to determine a status of the wireless user endpoint device associated with a wireless phone number, wherein the status comprises a determination as to a validity of a subject communication associated with the wireless phone number, perform a presence analysis of the wireless user endpoint device, and respond to the request by providing an indication as to the validity of the subject communication associated with the wireless phone number back to the first entity.