Call Screening Service for Fraud Detection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Mobile device users face numerous undesired calls, including spam, scam, and robocalls, with spoofed numbers complicating call management, leading to fraud and increased costs due to reverse international charges.
Innovation Solution
A call screening service that identifies inbound and outbound calls by determining the origination source location and call parameters, using carrier network data to detect scam likelihood and block or notify users of potential scams.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional call management procedures are used, then call routing is simple, but fraudulent and scam calls cannot be effectively detected and blocked
Solution Approach 1:
The patent introduces an intermediary call screening service that acts as a mediator between the calling party and the called party. This service analyzes call parameters, compares them against known scam patterns, and provides fraud likelihood indicators without requiring complex changes to the core telecommunication infrastructure. The intermediary layer handles the complexity of fraud detection while keeping the basic call routing simple.
Solution Approach 2:
The system performs preliminary analysis of inbound calls by examining call parameters, origination source locations, and comparing them against databases of known scam numbers and patterns before the call is fully established. This preliminary action allows the system to identify potential fraud early in the call process, enabling proactive blocking or warning notifications before users are exposed to scam calls.
2Object-affected harmful factors
If all inbound calls are allowed through, then users receive all legitimate calls, but fraudulent calls also reach users increasing fraud and costs
Solution Approach 1:
The patent applies local quality by providing differentiated treatment to different calls based on their fraud risk characteristics. Instead of uniformly blocking or allowing all calls, the system analyzes individual call parameters and applies targeted screening only to calls that exhibit suspicious characteristics. This allows legitimate calls to pass through efficiently while applying rigorous fraud detection only where needed, maintaining high call delivery efficiency for normal traffic while protecting against fraud.
3Reliability
If outbound call screening is implemented, then scam calls are blocked, but legitimate outbound calls may be interrupted
Solution Approach 1:
The system implements feedback mechanisms where users can provide input about call outcomes, false positives, and legitimate calls that were incorrectly flagged. This feedback is used to continuously refine the fraud detection algorithms and update the database of known scam patterns. The feedback loop allows the system to learn from user experiences and improve its accuracy over time, reducing false positives that would interrupt legitimate calls while maintaining effective scam blocking.
Data Source
AI summary
An example method of operation may include one or more of identifying an outbound call placed by a mobile device subscribed to a protected carrier network, determining the outbound call is destined for a destination telephone number that was stored in a call history of the mobile device, determining the destination telephone number is a scam call suspect telephone number based on one or more identified call filter parameters associated with the destination telephone number, and forwarding a scam call notification to the mobile device while the outbound call is dialing the destination telephone number.