Connection Management Service Trust Score Evaluation
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Solution Overview
Problem
Current voice-communication systems lack effective mechanisms to differentiate between legitimate and fraudulent premium rate telephone calls, leading to potential financial losses for users and service providers due to scams like International Revenue Share Fraud (IRSF), where automated calls are made to premium rate numbers without user knowledge, resulting in unexpected charges.
Innovation Solution
Implementing a trust score system that evaluates connection requests based on customer account data, call history, and destination endpoint risk to determine whether to allow or deny connections to high-risk or high-cost destinations, using a scoring agent to generate trust scores through rule sets or machine learning models, and allowing manual overrides for legitimate calls.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If routing for premium rate telephone calls is the same as standard telephone calls, then routing simplicity is maintained, but users are vulnerable to fraudulent charges from premium rate numbers
Solution Approach 1:
The patent introduces a connection management service as an intermediary component between the calling party and the premium rate destination. This service intercepts connection requests to premium rate numbers, evaluates trust scores, and determines whether to allow or block the connection. The intermediary adds fraud protection capability without fundamentally changing the routing infrastructure, resolving the contradiction between routing simplicity and fraud prevention.
2Productivity
If automated calls are made to premium rate numbers without user knowledge, then service providers can generate revenue, but users incur unexpected charges
Solution Approach 1:
The patent implements preliminary evaluation of trust scores before allowing connections to premium rate numbers. The connection management service proactively assesses the legitimacy of connection requests by analyzing trust scores derived from customer account data, call history, and destination risk information. This preliminary action prevents fraudulent automated calls from reaching premium rate numbers, blocking harmful calls before they can generate unexpected charges while still allowing legitimate high-volume calling.
3Reliability
If trust score evaluation is performed for all connection requests, then fraud prevention is enhanced, but system processing complexity increases
Solution Approach 1:
The patent applies trust score evaluation selectively rather than universally. The connection management service focuses its evaluation resources on connection requests to premium rate numbers and destinations identified as high-risk, rather than evaluating every single connection request. This localized approach enhances fraud prevention for vulnerable destinations while minimizing the overall processing complexity burden on the system.
Data Source
AI summary
A technology is described for determining a trust score or trust metric used to determine whether to allow a connection to a high risk destination. In one example of the technology, a connection request to initiate a connection with a destination over a network may be received at a communication service. The communication service may identify a customer account associated with the connection request and obtain a trust score that indicates whether the connection request associated with the customer account may be allowed. The communication service may determine whether the connection request associated with the customer account is allowed to initiate the connection with the destination based on the trust score, and initiate the connection with the destination over the network when the trust score allows the connection request.