Network Scam Protection Service for Unauthorized Call Blocking
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Solution Overview
Problem
Users are vulnerable to malicious applications that initiate unauthorized outgoing communications to premium-rate numbers or emergency services, leading to fraudulent charges and potential harassment, with existing solutions failing to effectively prevent such scams.
Innovation Solution
A network-based scam protection service within a wireless carrier network that monitors outgoing communications, uses pattern matching and machine-learning techniques to detect anomalous patterns, and prompts users to confirm authorization, blocking unauthorized communications and crowdsourcing votes to flag malicious applications for removal.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If users download applications from third-party platforms, then application availability and user choice are improved, but vulnerability to malicious applications increases
Solution Approach 1:
The system performs preliminary monitoring of outgoing communications from applications immediately after installation. The scam protection service tracks communication patterns in real-time to detect malicious behavior before significant harm occurs, blocking unauthorized calls and messages proactively rather than reactively.
Solution Approach 2:
The wireless carrier network acts as an intermediary between the user device and the malicious application targets. The scam protection service embedded in the network monitors and controls outgoing communications, serving as a mediator that can identify and block malicious traffic without requiring direct user action or modifying the malicious application itself.
2Measurement precision
If the system monitors all outgoing communications to detect scam patterns, then detection accuracy is improved, but network traffic processing complexity increases
Solution Approach 1:
The system applies different monitoring strategies to different communication patterns. Rather than uniformly analyzing all communications with equal depth, the scam protection service focuses intensive analysis on suspicious patterns (such as calls to premium-rate numbers or unusual communication frequencies) while using lighter monitoring for normal traffic, optimizing resource allocation.
Solution Approach 2:
The system dynamically adjusts monitoring parameters such as threshold values for triggering alerts, analysis depth, and blocking criteria based on observed patterns. The scam protection service learns from crowd-sourced data and modifies its detection sensitivity and processing intensity to balance accuracy with network resource consumption.
3Reliability
If the system blocks unauthorized communications immediately upon detection, then protection effectiveness is improved, but false positive rate increases
Solution Approach 1:
The system implements a preliminary warning stage before permanent blocking. When suspicious patterns are detected, the scam protection service first issues warnings to the user, giving them an opportunity to confirm or deny authorization. Only after confirmed malicious behavior or repeated warnings does the system proceed to blocking, reducing false positives while maintaining protection.
Solution Approach 2:
The system incorporates user feedback loops where users can confirm or deny unauthorized communication alerts. This feedback mechanism allows the scam protection service to learn from user responses, adjust its detection sensitivity, and refine its blocking decisions to minimize false positives while maintaining high protection effectiveness.
Data Source
AI summary
Outgoing communications from a user device are monitored following a notification that an application is installed on a user device. When a number of the outgoing communications to a premium-rate number during a predetermined period of time exceeds a corresponding quantity threshold, the pattern of the outgoing communications may be ascertained to be anomalous. A user device is directed to present a prompt that requests an input as to whether the outgoing communications are authorized. In response to a first input that the outgoing communications are unauthorized, additional outgoing communications from the user device to the premium-rate number are blocked for a predesignated amount of time. Further, the first input is stored as a corresponding vote that the application is malicious. In response to a second input that the outgoing communications are authorized, the second input is stored as a corresponding vote that the application is non-malicious.