Communication Traffic Analysis for Artificial Address Detection

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Solution Overview

Problem

Communication databases often include both valid and artificial recipient addresses, leading to resource-intensive communication transmission and reduced trust ratings, as existing systems struggle to distinguish between them effectively.

Innovation Solution

A system and method for analyzing communication traffic by aggregating message events, determining analyzer scores, and calculating risk scores to differentiate between valid and artificial addresses, using machine learning models to identify and manage communication risks.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Quantity of substance

If communication databases include a large volume of recipient addresses from various sources, then the database coverage and reachability are improved, but the database includes artificial and fraudulent addresses that cause resource waste and trust rating reduction

Engineering Contradiction:

Improvenumber of recipient addressesVSAvoidresource consumption for transmissions

Core Design Contradiction:

Quantity of substanceVSLoss of energy

Solution Approach 1:

The system performs preliminary analysis of communication traffic patterns and destination addresses before transmissions occur. By aggregating message events and calculating risk scores in advance, the system identifies and flags artificial addresses proactively, preventing resource waste from transmitting to fraudulent destinations.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system implements continuous feedback loops by monitoring communication traffic, analyzing destination behavior patterns, and updating risk assessments dynamically. This feedback mechanism allows the system to learn from past transmissions and improve its ability to distinguish valid from artificial addresses, reducing resource consumption over time.

Inventive Principle:

Principle #23Feedback

2Quantity of substance

If communication databases include recipient addresses from various sources, then the database comprehensiveness is improved, but the trust rating of transmitting entities is reduced due to fraudulent addresses

Engineering Contradiction:

Improvenumber of recipient addressesVSAvoidtrust rating

Core Design Contradiction:

Quantity of substanceVSReliability

Solution Approach 1:

The system extracts and isolates suspicious destination addresses from the communication database by analyzing traffic patterns and calculating risk scores. By separating identified artificial addresses from valid ones, the system enables transmitting entities to exclude fraudulent destinations, thereby maintaining or improving trust ratings while preserving comprehensive address coverage.

Inventive Principle:

Principle #2Taking out (Extraction)

Solution Approach 2:

The system introduces an intermediary analysis layer between the communication database and transmission process. This intermediary component evaluates destination addresses using aggregated traffic data and risk scoring, acting as a filter that protects transmitting entities from inadvertently communicating with fraudulent addresses, thus preserving trust ratings.

Inventive Principle:

Principle #24Intermediary (Mediator)

3Measurement precision

If traffic analysis is performed on destination addresses, then the accuracy in distinguishing valid from artificial addresses is improved, but the complexity of the system increases

Engineering Contradiction:

Improveaccuracy of address validationVSAvoidsystem complexity

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

The system segments the traffic analysis process into distinct modular components: message event aggregation, individual analyzer scoring, and overall risk score calculation. Each component handles a specific aspect of analysis independently, improving measurement precision through specialized processing while managing system complexity through modular architecture that allows independent development and maintenance of each segment.

Inventive Principle:

Principle #1Segmentation

Data Source

PatentUS12627634B2Systems and methods for artificial traffic detection

Publication Date: 2026.05.12 INFOBIP LTD

AI summary

Systems and methods for analyzing communication traffic may include receiving message events, aggregating the message events to generate aggregated message events, receiving a destination address, performing traffic analysis for the destination address based on the aggregated message events, wherein the traffic analysis comprises determining an analyzer score for each of the message events associated with the destination address, calculating a risk score based on the analyzer score for each of the message events associated with the destination address; and performing a risk action for the destination address based on the risk score.