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Artificially inflated traffic (AIT) is a growing concern for telecom operators, driving cost increases for enterprises and jeopardizing revenues for MNOs, Aggregators and Hubs.

Effectively addressing AIT fraud is crucial for maintaining service quality and financial stability. AIT fraud occurs when malicious entities generate unusually high traffic volumes, often targeting specific message categories like one-time-passwords (OTPs). These fraudulent activities can lead to inflated charges, network congestion, and reduced service quality. Recognizing and addressing AIT fraud involves implementing strategic measures across various points of the messaging delivery ecosystem.

To effectively combat AIT fraud, operators need a sophisticated approach to leveraging both existing technologies and new strategies.

1. Increased A2P SMS Costs

As A2P SMS costs continue to increase, the profit potential of AIT becomes more attractive to fraudsters and bad actors. Similarly, AIT presents the messaging ecosystem with an ethical & moral dilemma. While there is a desire across the ecosystem to maintain clean networks, at the end of the day, AIT actually generates a significant amount of revenue for operators. In the short-term, revenues may fall as a result of a reduction in fraudulent traffic, but the long-term effect of increased trust in the A2P SMS channel will be far greater.

2. Lack of Regulation

AIT occurs outside of common SMS agreements and regulations, bypassing traditional firewalls. For example, OTPs (the most common message type used in AIT), are not typically categorized as spam by firewalls and security gateways. The A2P messaging ecosystem involves various actors, gateways, and protocols. This complexity leaves room for fraudsters to exploit gaps and avoid detection.

3. Advances in Technology

The techniques used by bad actors to defraud operators and enterprises are constantly evolving, with the intention of staying one step ahead of detection techniques and mechanisms. AI and other technologies are now facilitating large-scale fraud attacks. AIT campaigns utilize proxy servers or VPNs to rotate IP addresses and avoid detection, use AI to bypass Captchas, flood SMS APIs with OTP requests, and much more. AIT blends with legitimate traffic, making it hard to distinguish between bots and genuine users.

1. Leverage Message Classification and Metadata

A critical step in identifying AIT fraud is utilizing message classification and metadata. Modern network operators often employ advanced algorithms and neural networks to classify messages and store relevant metadata. By repurposing this data, telecom operators can enhance their ability to detect suspicious traffic patterns.

Key Actions:

  • Implement or Optimize Message Categorization Systems

    Enhance your network’s ability to detect fraud by implementing or optimizing advanced message categorization systems.

  • Utilize Metadata for Monitoring and Detecting Anomalies

    Use message metadata to identify and monitor unusual traffic patterns indicative of AIT fraud.

2. Implement Volume-Based Alerting

For operators looking to be alerted about potential AIT fraud without immediate intervention, volume-based alerting is an effective approach. Configure monitoring systems to track traffic volumes and detect unusual peaks in specific message categories or traffic directed to known fraudulent networks.

Key Actions:

  • Set Up Monitoring Rules for Traffic Volumes

    Establish rules to monitor traffic volumes and identify potential fraud by detecting abnormal peaks.

  • Define Thresholds Based on Historical Data and Traffic Patterns

    Set alert thresholds using historical data and typical traffic patterns to identify anomalies.

  • Establish Alerting Mechanisms to Notify Teams of Potential Fraud

    Create alert systems to promptly notify your team of suspected AIT fraud activities.

3. Adopt Proactive Blocking Measures

For a more assertive approach, consider implementing blocking mechanisms to automatically prevent traffic being delivered towards suspected AIT destinations. This method involves setting thresholds for specific message categories and taking immediate action when these thresholds are exceeded.

Key Actions:

  • Develop and Configure Automated Traffic Blocking

    Implement rules that automatically block traffic to prevent it being delivered towards suspected AIT destinations.

  • Monitor Traffic in Real Time to Ensure Prompt Responses

    Continuously monitor traffic in real time to quickly respond to potential fraud attempts.

  • Adjust Thresholds Based on Evolving Fraud Patterns and Network Conditions

    Regularly update blocking thresholds to adapt to new fraud tactics and changing network conditions.

4. Enhance Automated Detection Capabilities

Looking ahead, enhancing automated detection capabilities can significantly improve the efficiency of AIT fraud management. Developing systems that automatically identify fraudulent traffic sources and assign detection profiles can streamline the process and provide a more proactive defense.

Key Actions:

  • Invest in Technologies for Automated Fraud Detection

    Allocate resources to develop and integrate automated fraud detection technologies.

  • Create Dynamic Profiles for Detecting and Responding to AIT Fraud

    Develop dynamic profiles that evolve to detect and address new AIT fraud patterns.

  • Continuously Refine Algorithms & Detection Mechanisms to Adapt to New Fraud Tactics

    Regularly improve algorithms and detection systems to stay ahead of emerging fraud techniques.

AIT fraud is seen by industry operators as the #1 challenge in terms of network security according to a number of recent surveys.

However, by leveraging advanced message classification, implementing volume-based alerting, adopting proactive blocking measures, and enhancing automated detection capabilities, operators can effectively mitigate the risks associated with AIT fraud.

Staying vigilant and proactive is key to maintaining network integrity and ensuring a high-quality service for all customers. As fraud tactics evolve, continuous refinement of detection and response strategies will be essential in staying ahead of emerging threats.

To learn more about the topics covered in this article, or to discuss how Openmind Networks can help you protect your network from AIT fraud, please get in touch or contact our team of messaging experts online here.

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