Telecommunications Validation System for Spoofed Call Detection
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Solution Overview
Problem
Existing telecommunications systems lack an effective method to determine the trustworthiness of incoming telephone calls, particularly in preventing telephone number spoofing that can impersonate legitimate callers.
Innovation Solution
A system and method that determine a confidence value for incoming telephone calls by analyzing various signals and data, including toll-free call routing logs, SCP signals, and Call Identifiers, to differentiate between legitimate and spoofed calls.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If telephone number spoofing is used, then the caller can impersonate a legitimate station, but the trustworthiness of the phone number indicator is compromised
Solution Approach 1:
The system performs preliminary validation of call authenticity by analyzing multiple data sources (call detail records, signaling data, routing information) before the call is fully processed. This preliminary action establishes a confidence value that predicts whether the call is legitimate, allowing enterprises to take preventive measures against spoofed calls before they cause harm.
Solution Approach 2:
The patent introduces an intermediary validation system that sits between the telephone network and the enterprise. This intermediary analyzes call data from multiple sources and provides a confidence value assessment, acting as a mediator that helps enterprises distinguish between legitimate and spoofed calls without requiring changes to the underlying telephone network infrastructure.
2Ease of operation
If traditional phone number verification is used, then the system is simple to operate, but it cannot detect spoofed calls
Solution Approach 1:
The patent combines multiple data sources and validation methods into a single integrated system. It merges call detail records, signaling data, routing information, and historical call patterns into a unified analysis framework that produces a single confidence value. This merging allows the system to maintain ease of operation while significantly improving measurement precision through multi-factor analysis.
Solution Approach 2:
The validation system is designed to be universal and multi-functional, working with various types of telephone calls (toll-free, standard, international) and multiple data sources simultaneously. It provides a single confidence value assessment that can be applied across different enterprise contexts, maintaining simplicity of use while achieving high accuracy through its ability to process diverse information types.
3Reliability
If multiple layers of signals and data are analyzed to determine confidence value, then call authenticity assessment improves, but system complexity increases
Solution Approach 1:
The patent extracts and analyzes only the most critical validation factors from the available data sources. It identifies key indicators such as routing consistency, signaling data matching, and historical call patterns that are most predictive of call authenticity. By focusing on these essential factors rather than processing all possible data, the system achieves high reliability while managing complexity through selective extraction of critical information.
Data Source
AI summary
According to an embodiment of the disclosure, a toll-free telecommunications validation system determines a confidence value that an incoming phone call to an enterprises' toll-free number is originating from the station it purports to be by incorporating one or more layers of signals and data in determining said confidence value. The data and signals can include one or more call identifiers and/or toll-free call routing logs, service control point (SCP) signals and data, service data point (SDP) signals and data, dialed number information service (DNIS) signals and data, session initiation protocol (SIP) signals and data, carrier identification code (CIC) signals and data, location routing number (LRN) signals and data, jurisdiction information parameter (JIP) signals and data, charge number (CN) signals and data, billing number (BN) signals and data, and originating carrier information (such as information derived from the ANI).


