Robocall Management System Ingress Classification and Routing

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Solution Overview

Problem

Telecommunication networks face challenges in distinguishing between legitimate and illegitimate robocalls, leading to unwanted and malicious communications that overwhelm users and compromise security.

Innovation Solution

A robocall management system that receives and analyzes communications from auto-dialing devices, classifies them based on identification data and rate thresholds, and routes or blocks calls accordingly, using a database of robocall identifiers to determine permissibility and execute routing actions.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If a robocall management system classifies and routes all robocalls based on identification data, then legitimate robocalls can be permitted while malicious ones are blocked, but the system complexity and processing time increase

Engineering Contradiction:
Improverobocall classification accuracyVSAvoidsystem complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The robocall management system segments the classification process into multiple independent modules: receiving communications from auto-dialing devices, extracting identification data from signaling fields, comparing against databases of robocall identifiers, classifying based on multiple criteria (identification data, rate thresholds), and routing based on classification results. This modular segmentation allows each component to be optimized independently while maintaining overall system reliability.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The system performs preliminary actions by pre-populating databases with known robocall identifiers before actual classification occurs. Identification data patterns and rate thresholds are established in advance, allowing the system to quickly classify incoming communications without performing complex analysis in real-time, thus reducing processing time while maintaining accuracy.

Inventive Principle:
Principle #10Preliminary action

2Measurement precision

If the system analyzes identification data from signaling fields and compares against databases, then robocall permissibility can be accurately determined, but the processing time and computational resources increase

Engineering Contradiction:
Improverobocall identification precisionVSAvoidcall processing time
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

The system applies local quality by focusing analysis on specific signaling fields that contain identification data, rather than analyzing entire communication packets. By targeting only the relevant signaling fields and using pre-established rate thresholds for specific auto-dialing devices, the system achieves high identification precision while minimizing processing time through selective rather than comprehensive analysis.

Inventive Principle:
Principle #3Local quality

3Object-affected harmful factors

If the system blocks illegitimate robocalls, then user experience is improved and security is enhanced, but legitimate robocalls may be incorrectly blocked reducing productivity

Engineering Contradiction:
Improvemalicious robocall impactVSAvoidlegitimate robocall throughput
Core Design Contradiction:
Object-affected harmful factorsVSProductivity

Solution Approach 1:

The robocall management system implements feedback mechanisms where classification results are continuously monitored and used to refine identification criteria. When legitimate robocalls are incorrectly blocked, the system can adjust rate thresholds or update database identifiers to prevent future false positives. This feedback loop ensures that security measures are maintained while minimizing impact on legitimate communications through continuous optimization.

Inventive Principle:
Principle #23Feedback

Data Source

PatentUS20200359221A1Identification and control of permissible robocalling on ingress to a telecommunications network
Publication Date: 2020.11.12 LEVEL 3 COMMUNICATIONS LLC
  • US20200359221A1 patent drawing
  • US20200359221A1 patent drawing
  • US20200359221A1 patent drawing

AI summary

A robocall management system is provided that identifies, classifies, and routes one or more robocalls on ingress into a telecommunications network. In some instances, a robocall may be received at an ingress point of the network and analyzed by the robocall management system. Analysis of the received call may access one or more types of identification, such as an identification token, and classify the robocall as permissible or impermissible based on the identification data. Additionally, the robocall management system may monitor a rate of received robocalls from a known robocall customer and compare the rate of robocalls made to a CPS threshold value associated with the customer. One or more routing actions may be executed on a received robocall based on the classification, including routing the robocall to the destination, selecting a routing path via the receiving network, and/or blocking the robocall at the ingress device.