Artificial Traffic Detector

To boost their margins, unscrupulous operators or their accomplices may use bots and automation to generate large volumes of fake SMS traffic through the enterprises’ websites or apps. This artificially inflated traffic (AIT) is sent to both real and non-existent mobile numbers. As a result, the resource owners and the A2P SMS providers suffer. The former incur financial losses by paying for the fake messages sent on their behalf, while the latter risk reputational damage from the spamming.

The Artificial Traffic Detector (ATD) is designed to identify and block SMS AIT fraud, preventing it from spreading. This API service can be easily integrated with any SMS platform and does not affect the speed of traffic processing. By analyzing statistical data and traffic flow patterns, ATD quickly detects suspicious activity and halts fraudulent campaigns. This helps SMS providers uphold the integrity of their traffic and safeguard their enterprise customers.

Overview

ATD Core Features

Real-time analysis

with minimal message delay (less than 1 sec.)

High accuracy

in detecting SMS AIT (85-95% variability)

Scalable MPS

to handle large volumes of traffic (up to 1000)

Secure handling of SMS data,

received from operator's platform

The Artificial Traffic Detector accumulates statistical data on traffic flow within a designated "window" and uses this information to make intelligent decisions. This dynamic approach ensures the system adapts to real-time traffic conditions, optimizing performance by gathering sufficient statistical insights before activating filtering. In an AIT campaign, this process allows for a brief initial period during which messages are processed as data is collected (typically between 20 and 50 messages) to enable precise and effective filtering thereafter.

ATD processes incoming messages by intelligently separating them into distinct streams based on SMS metadata. This approach allows the system to effectively group similar traffic (campaigns), ensuring that filtering mechanisms are applied with precision and tailored to each specific stream, optimizing overall performance.

from being deceived by fraudulent SMS flow and paying for fake messages

Ensuring service stability

and maintaining high traffic quality indicators by blocking fraud attempts and preventing system overload

Gaining a 100% margin on blocked traffic

when the operator charges the sender for messages that are blocked