Telecommunications Carrier Scoring for Adaptive Call Blocking
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Solution Overview
Problem
Current solutions for identifying and blocking unwanted telecommunications calls are inadequate, as they rely on predetermined lists and do not effectively address spoofing or the behavior of specific carriers, leading to inefficient call blocking and unnecessary costs for users.
Innovation Solution
A system that analyzes communication content features to identify unwanted callers, computes scores for telecommunications carriers based on their behavior, and configures handling of calls using a directory server and communication screening system, which includes fingerprint matching and dynamic scoring to block or challenge suspicious calls.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If current solutions use predetermined lists for identifying unwanted callers, then the system is simple to implement, but it fails to effectively address spoofing and carrier behavior, resulting in poor blocking accuracy
Solution Approach 1:
The system transitions from static predetermined lists to dynamic carrier scoring that continuously updates based on real-time analysis of communication content features, call patterns, and carrier behavior, enabling adaptive blocking accuracy without requiring manual list maintenance
Solution Approach 2:
The system implements feedback loops where communication content features and call handling results are analyzed to update carrier scores, creating a self-improving system that learns from actual call outcomes to enhance future blocking decisions
2Reliability
If the system analyzes communication content features and computes carrier scores dynamically, then call blocking effectiveness improves, but processing time and computational resources increase
Solution Approach 1:
The system pre-computes and stores carrier scores based on historical behavior patterns, allowing rapid retrieval during actual call screening without performing complex analysis in real-time, thus reducing call handling time while maintaining accuracy
Solution Approach 2:
The system changes the parameter of analysis from individual call content to aggregated carrier-level metrics, transforming the screening process from analyzing each call's detailed content to checking pre-computed carrier scores, significantly reducing processing time
3Object-generated harmful factors
If the system blocks calls from high-risk carriers, then unwanted call reduction improves, but legitimate calls from those carriers may be incorrectly blocked
Solution Approach 1:
The system applies different blocking strategies to different carriers based on their individual risk profiles and behavior patterns, rather than applying uniform blocking, allowing nuanced differentiation between high-risk and legitimate carriers
Solution Approach 2:
The system uses partial blocking measures such as challenge calls or selective screening for carriers with moderate risk scores, rather than complete blocking, to reduce unwanted calls while preserving legitimate communication channels
Data Source
AI summary
A method and systems for identifying communicators as wanted or unwanted based on communications from such communicators, the method comprising determining communications from phone numbers as being unwanted by analyzing communication content features of communications associated with unwanted communicators, identifying telecommunications carriers that acquired the phone numbers, computing scores for the telecommunications carriers based on an amount of the determined unwanted communications from the phone numbers are unwanted, intercepting an inbound communication from a given phone number, identifying the given phone number is associated with a given one of the telecommunications carriers, and configuring handling of communications from the phone number based on a score of the given telecommunications carrier.