Network Call Screening System for Scam Detection
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Solution Overview
Problem
Current solutions are inadequate in providing nuanced options for handling unwanted and potentially scam phone calls, particularly in cases like the one-ring scam where users are lured into making outbound calls to international numbers, resulting in unexpected charges.
Innovation Solution
A network device analyzes incoming and outgoing calls to identify patterns associated with potential scam callers, generating a screening list that combines with other lists of known scam callers. This system compares calls to the screening list and transfers suspicious calls to a screening server, which provides users with a trust level warning and allows them to decide whether to proceed or end the call.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a network device monitors and analyzes call patterns to generate screening lists of potential scam callers, then the ability to identify and warn users about suspicious calls is improved, but the device complexity and processing requirements increase
Solution Approach 1:
The system divides call screening into multiple stages: real-time pattern monitoring, offline analysis to generate screening lists, and comparison against known scammer databases. This segmentation allows complex screening functionality to be distributed across different components, improving reliability without overwhelming single-device complexity
Solution Approach 2:
The system performs preliminary analysis of call patterns and generates screening lists in advance, before users need to make calls. By pre-processing call data and identifying potential scam callers ahead of time, the system reduces the complexity of real-time decision-making while maintaining high screening accuracy
2Object-affected harmful factors
If the system transfers suspicious calls to a screening server for user confirmation, then users are protected from unexpected charges, but the call handling time and processing steps increase
Solution Approach 1:
The system introduces a screening server as an intermediary between the user and the call connection. This mediator provides users with trust level warnings and confirmation options, protecting them from financial harm while maintaining a streamlined call handling process through automated intermediate checks
Solution Approach 2:
The system applies preliminary anti-action by warning users before they connect to potentially harmful calls. The screening server provides advance notice of suspicious calls and allows users to confirm or block connections, preventing financial harm before it occurs rather than remedying it after the fact
3Ease of operation
If the system provides multiple nuanced options for handling calls including trust level warnings and user confirmation, then user control and protection are improved, but the ease of operation decreases
Solution Approach 1:
The system dynamically adjusts the level of intervention based on the suspiciousness of each call. For low-risk calls, the system maintains simple operation with minimal interference. For high-risk calls, it automatically provides additional warnings and confirmation options, balancing ease of operation with adaptability to different situations
Data Source
AI summary
Methods and systems are described for processing calls. An example method may comprise receiving a message for establishing a call. Identification information in the message may be compared to screening data. If a match is found, the message may be forwarded to a screening server. The screening server may establish a call based on the session and provide information indicative of a level of trust associated with the call.