Spoof Call Detection via Point Code Analysis
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Solution Overview
Problem
Current technologies fail to effectively detect and mitigate spoof calls, which are calls that manipulate caller ID information to deceive recipients about the actual caller's identity or number.
Innovation Solution
The system utilizes call-setup data, such as point codes, to identify and detect spoof calls by analyzing the origination data of incoming calls, and applies actions like blocking or providing notifications to the receiving device to indicate or prevent spoof calls.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional caller ID systems are used, then call connectivity is maintained, but spoof call detection capability is insufficient
Solution Approach 1:
The patent introduces an intermediary spoof detection system that analyzes call-setup data between the calling and receiving devices. This intermediary system examines point codes and other signaling information to detect spoofing attempts without requiring changes to the end-user devices, thus improving detection capability while maintaining system simplicity.
Solution Approach 2:
The system performs preliminary analysis of call-setup data before the call is fully established. By examining point codes and signaling information in advance, the system can identify potential spoofing attempts and apply appropriate actions (blocking, warning, or allowing) before the recipient is deceived, improving detection effectiveness without adding complex post-call analysis.
2Measurement precision
If call-setup data analysis is implemented, then spoof call detection accuracy is improved, but processing time increases
Solution Approach 1:
The system performs preliminary analysis of call-setup data during the call establishment phase, examining point codes and signaling information before the call is fully connected. This allows accurate spoof detection to occur in parallel with normal call setup procedures, minimizing additional time loss while maintaining high detection accuracy.
Solution Approach 2:
The system rapidly processes call-setup data by focusing on specific critical parameters (point codes, signaling information) rather than performing exhaustive analysis of all call data. This targeted approach enables quick identification of spoofing attempts while maintaining high detection accuracy, reducing the time penalty associated with enhanced verification.
3Reliability
If spoof call detection and blocking is applied, then call security is enhanced, but legitimate call connectivity may be affected
Solution Approach 1:
The system implements feedback mechanisms where detection results are analyzed and used to refine future detection decisions. By monitoring patterns and allowing for false positive correction, the system can adjust its blocking behavior to maintain high security while preserving legitimate call connectivity, reducing the impact on adaptability over time.
Solution Approach 2:
The system applies preliminary verification of call-setup data to identify and block spoofing attempts before they can affect recipients. By proactively analyzing point codes and signaling information, the system prevents malicious calls while maintaining compatibility with legitimate calls that pass verification, thus enhancing security without significantly impacting legitimate call connectivity.
Data Source
AI summary
Systems, methods, and computer-readable media, for facilitating incoming spoof call determinations are provided. In some embodiments, the method includes receiving call-setup data including a point code associated with origination of a call intended for a receiving device. The point code can be utilized to determine that the call intended for the receiving device is a spoof call. Such a spoof call can be initiated by a spoof-calling party associated with a number and is intended to provide an indication to the receiving device that the call is associated with another number.