Telephony Call Screening Using Network Signaling Fraud Detection
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Solution Overview
Problem
Fraudulent phone calls, such as vishing, pose a significant threat to private systems and entities, as scam callers can exploit personal devices to hack into networks, steal identities, and cause breaches, with existing systems failing to effectively mitigate these risks.
Innovation Solution
A telecommunications network system with a monitoring system that includes a processor, communication interface, and memory device to screen calls by comparing the call source to stored fraudulent data, performing screening actions, and notifying security systems when potentially fraudulent calls are detected.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional caller ID systems are used, then call identification is provided, but fraudulent calls can still spoof legitimate numbers
Solution Approach 1:
The patent introduces an intermediary screening system positioned between the calling party and the called party. This system intercepts incoming calls, compares calling information against a database of known fraudulent sources, and determines whether to block or allow the call through. The intermediary acts as a security gateway that prevents fraudulent calls from reaching legitimate recipients while allowing genuine calls to pass through unaffected.
Solution Approach 2:
The system performs preliminary screening of incoming calls by comparing calling information against a pre-established database of potentially fraudulent sources before the call is connected to the recipient. This advance detection and blocking mechanism prevents fraudulent calls from ever reaching the intended recipient, rather than reacting after the fact.
2Object-affected harmful factors
If call screening systems are implemented, then fraudulent calls are blocked, but legitimate calls may be mistakenly screened
Solution Approach 1:
The system incorporates feedback mechanisms where screening decisions can be reviewed and adjusted. When calls are screened or blocked, the system can log these events and allow for feedback from users about false positives, enabling the system to learn and improve its accuracy over time. The feedback loop helps refine the screening criteria to reduce legitimate call blockages while maintaining fraudulent call prevention.
3Reliability
If comprehensive call monitoring is performed, then call security is improved, but system complexity increases
Solution Approach 1:
The monitoring system is segmented into distinct functional modules: a call interception component that captures incoming calls, a database component that stores fraudulent source information, a comparison component that analyzes calling information, and a decision component that determines blocking actions. This segmentation allows each module to perform its specific function efficiently and makes the overall system more manageable and maintainable.
Solution Approach 2:
The system is designed to operate autonomously by automatically comparing incoming call information against the fraudulent sources database and making screening decisions without requiring manual intervention for each call. The self-service nature of the system reduces operational complexity while maintaining high security standards.
Data Source
AI summary
Systems and methods receive a call screening subscription request to screen calls within the telecommunications network for a plurality of recipient telephone numbers and ascertain that a telephone call has been placed to contact at least one telephone number of the plurality of recipient telephone numbers. A transmitting source of a signal of the telephone call is compared to stored data of potentially fraudulent sources. Based on the source of the telephone call matching a potentially fraudulent source of the potentially fraudulent sources, a screening action for the telephone call is performed.