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Test Call Generation (TCG) in Fraud Management: A Detailed Overview

by Salwa LAARIFPosted on

Test Call Generation (TCG) in Fraud Management: A Detailed Overview

Introduction

In the telecommunications sector, Test Call Generation (TCG) is a proactive mechanism for detecting, preventing, and managing fraud. With telecom operators facing various types of fraud—ranging from SIM box fraud to CLI fraud—TCG provides a way to regularly monitor and assess network integrity through automated, controlled test calls or messages. This blog post explores the role of TCG in fraud management, its functionality, and why it’s indispensable for telecom operators.

What is Test Call Generation (TCG)?

TCG is a method telecom operators use to generate and route test calls across their networks. These test calls simulate regular user activities, such as making phone calls or sending messages, to monitor performance, identify vulnerabilities, detect anomalies, and ensure system integrity. Unlike actual user calls, TCG-generated calls follow specific patterns and scenarios, allowing operators to assess multiple aspects of the network efficiently.

TCG plays a crucial role in detecting Subscription Fraud, Wangiri Fraud, IRSF (International Revenue Share Fraud), and other types of telecom fraud. Specifically, this testing technology is widely used to:

  • Detect fraud and bypass activities such as SIM box fraud.
  • Evaluate quality of service (QoS) for voice, SMS, and data.
  • Ensure regulatory compliance for interconnect billing and other legal frameworks.

Why is TCG Important in Fraud Management?

Telecom fraud is a multi-billion-dollar problem impacting operators worldwide. Fraudsters continuously evolve their tactics, making it essential for operators to stay ahead. Here’s why TCG is a vital component of fraud management:

1. Fraud Detection

TCG is instrumental in identifying SIM box fraud, where fraudsters bypass international call rates using local SIM cards to route international calls. By generating test calls from specific locations, operators can identify suspicious activities before they escalate into major revenue losses.

2. Network Performance Monitoring

Beyond fraud detection, TCG serves as a robust tool for monitoring network performance. Operators can track call quality metrics, latency, and other performance indicators to ensure optimal network functionality.

3. Billing Verification

TCG helps verify the accuracy of call detail records (CDRs) by comparing generated test calls with billing system records. This ensures that users and interconnection partners are billed correctly.

4. International Call Verification

Test calls are often sent internationally to confirm correct call termination and detect fraud techniques like “grey routes,” which illegitimately terminate calls, leading to revenue loss.

5. Cost Savings

By detecting and preventing fraud early, TCG helps operators avoid substantial financial losses associated with fraudulent activities.

6. Regulatory Compliance

In many countries, telecom operators must meet specific service quality and billing accuracy standards. TCG ensures compliance, reducing the risk of penalties from regulators.

Types of Telecom Fraud Detected Using TCG

SIM Box Fraud

Fraudsters set up multiple SIM cards in a “SIM box” to terminate international calls as local ones, avoiding higher termination fees. TCG detects irregular call patterns, indicating SIM box activity.

CLI Manipulation

Fraudsters may manipulate Caller Line Identification (CLI) to conceal the origin of a call, often leading to fraud. TCG can detect such cases by tracing test calls and comparing them with CLI data.

Subscription Fraud

Fraudsters obtain services using fake or stolen identities. TCG helps identify unusual usage patterns associated with these accounts.

Premium Rate Service (PRS) Fraud

By generating test calls to premium-rate numbers, TCG can detect fraudsters initiating premium-rate calls to generate revenue illegally.

PBX Hacking

Fraudsters hack into PBX systems to make unauthorized calls. TCG can simulate PBX call patterns to detect vulnerabilities.

Revenue Leakage

Incorrect routing or call termination can lead to revenue leakage. TCG ensures accurate routing and revenue capture by simulating various call scenarios.

How TCG Works

1. Test Script Creation

TCG platforms enable users to define parameters for test calls, such as duration, destination, time intervals, and type (voice, SMS, or data). Example scenarios include:

  • Simulating international calls to high-risk destinations.
  • Testing premium rate numbers.
  • Generating calls during off-peak hours to detect unusual activity.

2. Test Call Generation

Once the script is created, the TCG system initiates test calls or SMS messages according to predefined rules. These calls are routed through the network like regular calls and distributed across various points and countries, depending on the scenario.

3. Data Collection

The TCG system records key data, including call quality (e.g., jitter, packet loss), call success rate, and latency. For fraud detection, the system looks for anomalies, such as unusual routing patterns or discrepancies in expected call termination points.

4. Analysis and Reporting

The TCG platform monitors results and provides detailed reports. Key metrics such as call duration, routing paths, and billing records are analyzed for discrepancies. If irregularities or fraud are detected, alerts are triggered for further investigation.

5. Automated Response

Advanced TCG systems integrate with fraud management platforms, enabling automatic preventive actions such as:

  • Blocking suspected fraudsters.
  • Rerouting traffic.
  • Updating fraud rules.
  • Enhancing security measures to prevent revenue loss.

Benefits of Using TCG in Fraud Management

  • Proactive Fraud Detection: Regular test calls allow operators to detect fraud in real time, preventing large-scale revenue losses.
  • Cost Efficiency: Reduces costs associated with manual fraud detection, making TCG a cost-effective solution.
  • Enhanced QoS Monitoring: Enables operators to continuously assess service quality across locations and service types.
  • Regulatory Compliance: Ensures adherence to international telecom regulations, minimizing the risk of penalties.
  • Customization and Scalability: Operators can tailor TCG solutions to specific fraud types and scale as needed.

Challenges and Limitations of TCG

  • False Positives: TCG may generate false positives, requiring manual intervention to validate results.
  • Complex Setup: Establishing a comprehensive TCG system requires deep knowledge of networks and fraud patterns.

Best Practices for Implementing TCG

  • Conduct TCG regularly to stay ahead of evolving fraud tactics.
  • Use diverse test scenarios to cover all potential fraud vectors.
  • Implement real-time monitoring tools to detect and respond to anomalies.
  • Collaborate with industry partners to share fraud prevention insights.
  • Leverage AI-driven analytics for enhanced fraud detection.

Conclusion: The Role of TCG in Modern Telecom Fraud Management

Test Call Generation (TCG) is a crucial tool for combating telecom fraud. By simulating call scenarios and monitoring network behavior, TCG enables operators to detect and prevent fraudulent activities before they cause significant damage. As fraudsters continue to evolve, investing in robust TCG solutions is essential for telecom operators looking to protect their revenue, maintain customer trust, and ensure network integrity.

If you’re a telecom operator seeking to enhance your fraud management capabilities, consider integrating TCG into your strategy. Stay vigilant, stay secure, and keep your network fraud-free!

The Impact of Increased eSIM Use on SIMBox Fraud: Opportunities and Threats

by Salwa LAARIFPosted on

The Impact of Increased eSIM Use on SIMBox Fraud: Opportunities and Threats

In recent years, the telecom industry has witnessed  a significant transformation with the widespread adoption of eSIM (embedded SIM) technology. eSIMs, which are embedded directly into devices and can be programmed remotely, offer unparalleled convenience and flexibility for consumers and businesses alike. However, as with any technological advancement, the rise of eSIMs also presents new challenges, particularly in the realm of fraud management. One area of concern is the impact of eSIMs on SIMBox fraud, a persistent issue in the telecom industry.

This blog explores the opportunities and threats posed by the increased use of eSIMs in relation to SIMBox fraud, and how telecom operators can adapt to this evolving landscape.

Understanding eSIM Technology

eSIM (embedded SIM) technology allows users to switch carriers and activate new plans without physically changing SIM cards. This convenience is a major selling point, driving its adoption among consumers and operators alike. 

Key benefits of eSIMs include:

  • Convenience: No need for physical SIM cards or visits to stores.
  • Flexibility: Users can switch carriers or plans seamlessly.
  • Space Efficiency: eSIMs free up space in devices for other components.

The adoption of eSIMs is growing rapidly, driven by the proliferation of IoT devices, smartphones, and wearables. However, this shift also can be exploited by fraudsters particularly SIMBox fraud creating new vulnerabilities.

Opportunities: How eSIMs Can Help Combat Simbox Fraud

While eSIMs introduce new challenges, they also offer opportunities to combat Simbox fraud more effectively:

  • Enhanced Security Through Device Integration

One of the primary advantages of eSIM technology in combating SIMBox fraud is its integration with device hardware and reliance on secure protocols. This integration makes it more difficult for fraudsters to manipulate or duplicate these embedded identities. Unlike traditional SIM cards, which can be easily swapped and cloned, eSIMs are embedded directly into the device, reducing the risk of physical tampering and cloning.

  • Remote Management

Operators can remotely deactivate or reprogram eSIMs if fraudulent activity is detected. This capability allows for quicker responses to potential fraud incidents.

  • Reduced Physical SIM Card Availability

The physical availability of SIM cards will diminish as eSIM adoption increases. This reduction adds cost and complexity for SIMBox operators’ businesses. Fraudsters who rely on bulk purchasing and manipulating physical SIM cards will find it more challenging to continue their operations, thereby decreasing the prevalence of traditional SIMBox fraud.

  • Streamlined Authentication Processes

eSIM technology enhances the overall security of telecommunications networks through streamlined authentication processes. The secure provisioning and activation protocols associated with eSIMs make it harder for fraudsters to activate fraudulent lines. This increased security reduces the avenues for traditional SIMBox fraud to occur.

  • Improved Network Monitoring and Control

Telecom operators can leverage eSIM technology to improve network monitoring and control. The digital nature of eSIMs allows for better tracking and management of SIM card activations and usage. Operators can implement advanced monitoring systems to detect unusual patterns and behaviors associated with SIMBox fraud more effectively.

Threats: How eSIMs Could Exacerbate Simbox Fraud

  •  Increased Vulnerability to BOT-Based Attacks

Operators who give away eSIMs for free to attract new subscribers can become easy targets for BOT-based attacks. Fraudsters can exploit potential weaknesses in eSIM implementations, using automated systems to activate numerous fraudulent eSIMs and conduct SIMBox fraud.

  • Exploitation of IoT Devices

The growing use of eSIMs in IoT devices presents a new avenue for fraud. Fraudsters could exploit vulnerable IoT devices to route calls through SIMBoxes, further complicating detection efforts.

  • Rapid Evolution of Simbox Gateways

It is only a matter of time before SIMBox gateway manufacturers catch up and implement eSIM-capable chipsets. When this happens, the increased availability of eSIMs will likely create new attack surfaces, leading to novel forms of fraud. The ease with which eSIMs can be provisioned and activated makes them an attractive target for fraudsters.

  • Challenges in Detection and Prevention

Traditional methods of detecting and preventing SIMBox fraud may not be as effective with eSIMs. The virtual nature of eSIMs as it could be reprogrammed to switch between carriers makes it harder to track and monitor usage patterns, fraudsters could exploit this flexibility to evade detection, requiring more sophisticated AI and ML-based solutions to identify fraudulent activities.

  • Regulatory and Compliance Challenges:

The regulatory framework for eSIMs is still evolving. This lack of clarity could create loopholes that fraudsters might exploit.

Strategies to Combat eSIM-Based Simbox Fraud

To address the dual impact of eSIMs on SIMBox fraud, telecom operators must adopt a proactive and multi-layered approach:

  • Enhanced Predictive Call Pattern Analysis

Using AI to predict and analyze call patterns can help operators identify potential SIMBox activities before they occur. By examining call duration, frequency, and anomalies, AI can forecast suspicious behavior, allowing operators to take proactive measures.

  •  Implement Robust Authentication Mechanisms:

Use strong authentication protocols to ensure that eSIMs are only activated and used by authorized parties.

  • Advanced Behavioral Analytics

Machine learning can help understand normal and abnormal behaviors within a network. AI systems can continuously learn from vast datasets to differentiate between legitimate and fraudulent activities, improving the accuracy of fraud detection.

  •  Automated Fraud Detection Systems

Implementing AI-driven automated processes to monitor eSIM usage patterns in real-time can enhance the detection of fraud incidents. Machine learning models can continuously analyze data, identifying SIMBox fraud patterns in real-time and alerting operators to take immediate action.

  • Real-time Traffic Monitoring

Employing AI for real-time monitoring of call traffic is crucial. AI systems can instantly flag suspicious activities, allowing operators to respond swiftly and mitigate potential fraud.

  • Proactive Risk Management

Using historical data and machine learning, operators can develop proactive risk management strategies. AI models can predict and react to future Simbox fraud attempts, ensuring the network remains secure.

  • Enhance Collaboration:

Work closely with other operators, regulators, and industry bodies to share intelligence and best practices for combating eSIM-related fraud.

  • Educate Customers:

Raise awareness among customers about the risks of eSIM fraud and encourage them to report suspicious activities.

Introducing S-ONE FRAUD: Your ML-Powered Simbox Fraud Monitoring Solution

S-One FRAUD, a data solution designed to monitor, detect, and block Simbox fraud in real-time. Leveraging advanced machine learning algorithms, S-ONE FRAUD provides telecom operators with a comprehensive tool to safeguard their networks and revenue.

Key Features of S-One FRAUD Synaptique:

  • Real-Time Monitoring: Continuously analyzes call traffic to identify and flag suspicious patterns.
  • Voice Traffic Analysis: Detects SIMBox fraud through advanced voice fingerprinting and quality metrics.
  • Geolocation Insights: Tracks call origins and routes to pinpoint fraudulent activities.
  • Predictive Capabilities: Uses historical data to predict and prevent future fraud attempts.
  • Automated Response: Instantly blocks fraudulent traffic and generates actionable reports.

With S-One FRAUD Synaptique, telecom operators can stay ahead of fraudsters, reduce revenue leakage, and ensure a secure network for their customers.

Download the Brochure to Learn More:

Ready to take the next step in combating SIMBox fraud? Download our brochure to explore how S-One FRAUD Synaptique can transform your fraud prevention strategy.

Conclusion

The increased use of eSIM technology presents both opportunities and challenges for telecom operators. While eSIMs offer enhanced tracking, reduced physical SIM card availability, streamlined authentication processes, and integration with advanced analytics, they also introduce new vulnerabilities that can be exploited by fraudsters. As Voice Bypass Fraud continues to rise, reaching an estimated $5 billion USD per year, it is imperative for operators to adopt advanced AI and ML-based solutions to combat Simbox fraud effectively.

By leveraging predictive call pattern analysis, advanced behavioral analytics, automated fraud detection systems, real-time traffic monitoring, and proactive risk management, telecom operators can safeguard their networks and reduce the impact of Simbox fraud. The future of telecom fraud prevention lies in the intelligent application of AI and machine learning technologies.

As eSIM adoption continues to grow, the industry must remain vigilant and adaptable to ensure that this transformative technology is used for good—not for fraud.

The Fight Between Marketing-Sales Teams and Fraud Teams: Simbox Fraud as a Double-Edged Sword

by Salwa LAARIFPosted on

The Fight Between Marketing-Sales Teams and Fraud Teams: Simbox Fraud as a Double-Edged Sword

The battle between marketing-sales teams and fraud teams is a classic example of conflicting priorities. While marketing and sales teams often view Simbox fraud as a revenue booster, fraud teams see it as a significant threat to revenue and network security.In this blog post, we’ll explore this conflict, and discuss how to align both teams to protect revenue and ensure network security.

What is Simbox Fraud?

Simbox fraud occurs when fraudsters use devices (Simboxes) to reroute international incoming calls through local SIM cards, making them appear as local calls. This bypasses international call tariffs, resulting in significant interconnect revenue losses for telecom operators. While it may seem like a technical issue, the implications of Simbox fraud extend far beyond the fraud team’s domain.

The Marketing-Sales Perspective: Simbox as a Revenue Booster

Why Marketing-Sales Teams See Simbox as Positive

Increased Call Volumes:

Simbox fraud often leads to a surge in call volumes, which marketing and sales teams may interpret as increased customer engagement and revenue growth.

Example: A telecom operator in Country X noticed a 20% increase in local call volumes. The sales team celebrated this as a win, unaware that 30% of these calls were fraudulent Simbox reroutes.

Attractive KPIs:

Higher call volumes and revenue figures can make marketing campaigns appear more successful, helping teams meet their KPIs.

Example: A marketing campaign promoting low-cost international calls showed a spike in usage. However, the fraud team later discovered that 40% of the traffic was Simbox fraud.

Short-Term Gains:

Marketing and sales teams often focus on short-term results, such as quarterly revenue targets, and may overlook the long-term risks of Simbox fraud.

The Fraud Team Perspective: Simbox as a Threat

Why Fraud Teams See Simbox as a Threat

Revenue Loss:

Simbox fraud bypasses international call tariffs, leading to significant revenue leakage.

Example: A telecom operator in Country Y lost $5 million in revenue over six months due to undetected Simbox fraud.

Network Security Risks:

Simbox devices can compromise network integrity, leading to service disruptions and security vulnerabilities.

 

Example: A Simbox operation in Country Z caused network congestion, leading to dropped calls and customer complaints.

Regulatory and Compliance Issues:

Simbox fraud can result in non-compliance with regulatory requirements, leading to fines and reputational damage.

Example: A regulator fined a telecom operator $2 million for failing to detect and prevent Simbox fraud.

Customer Trust Loss:

Fraudulent activities can damage customer trust, especially if users experience poor call quality or unauthorized charges.

Example: Customers of a telecom operator in Country A reported unexpected charges, leading to a 15% churn rate increase.

Bridging the Gap: Aligning Marketing-Sales and Fraud Teams

To resolve this conflict, telecom operators must foster collaboration between marketing-sales and fraud teams. Here’s how:

 

  1. Educate Both Teams on the Impact of Simbox Fraud
  • Conduct workshops to explain how Simbox fraud works, its impact on revenue, and the risks to network security.
  • Use real-world examples and data to illustrate the long-term consequences of ignoring Simbox fraud.
  1. Implement Real-Time Fraud Detection Tools
  • Deploy advanced fraud management systems (FMS) that provide real-time alerts and analytics.
  • Share fraud insights with marketing and sales teams to help them understand the true source of revenue fluctuations.
  1. Align KPIs and Incentives
  • Redefine KPIs to include fraud prevention metrics, such as the percentage of fraudulent traffic detected and blocked.
  • Incentivize collaboration between teams by rewarding joint efforts to combat fraud.
  1. Foster a Culture of Collaboration
  • Encourage regular communication between marketing-sales and fraud teams through cross-functional meetings and joint projects.
  • Create a shared dashboard that displays both revenue and fraud metrics, ensuring transparency and alignment.
  1. Leverage Data Analytics for Decision-Making
  • Use data analytics to differentiate between legitimate revenue growth and fraudulent activities.
  • Provide marketing and sales teams with actionable insights to refine their strategies without compromising security.

The Way Forward: A Unified Approach

The fight between marketing-sales teams and fraud teams is not just a battle of perspectives—it’s a call for collaboration. By aligning their goals and working together, telecom operators can:

  • Protect revenue by detecting and preventing Simbox fraud.
  • Ensure network security and regulatory compliance.
  • Build customer trust and loyalty.

Simbox fraud may seem like a double-edged sword, but with the right tools and strategies, it can be effectively managed. The key lies in fostering a culture of collaboration and shared responsibility between marketing-sales and fraud teams.

Introducing S-ONE FRAUD: Your Ally in Simbox Detection and Prevention

To bridge the gap between marketing-sales ambitions and fraud team safeguards, telecom operators need more than just cooperation—they need robust, real-time tools. This is where S-ONE FRAUD, our machine learninf powered Simbox monitoring solution, comes in.

S-ONE FRAUD is designed to detect, analyze, and eliminate Simbox activity with precision. It supports telecom operators by offering a scalable, data-driven platform that aligns both fraud prevention and commercial growth goals.

Key Features of S-ONE FRAUD:

  • Real-Time Detection: Leverages intelligent algorithms to flag suspicious call patterns instantly.

  • Global Test Call Generation: Simulates international traffic to detect abnormal routing, grey routes, and illegal terminations.

  • KPI-Friendly Reporting: Helps sales and marketing teams distinguish between genuine traffic growth and fraudulent spikes, avoiding misleading performance indicators.

  • Regulatory Compliance Support: Ensures telecom operators stay ahead of local and international compliance demands, with audit-ready logs and detection reports.

  • Custom Alerts & Rules Engine: Enables operators to configure detection thresholds and triggers based on their specific environment and risk appetite.

Download S- ONE FRAUD Simbox Monitoring solution’s brochure to discover more of its features.

Bridging Teams Through Shared Visibility

With S-ONE FRAUD, marketing-sales and fraud teams no longer operate in silos. The platform’s shared dashboard and flexible reporting create a unified view of traffic integrity, helping stakeholders align on facts—not assumptions.

Marketing can confidently evaluate campaign performance knowing the data is fraud-filtered, while fraud teams can act swiftly, supported by intelligent alerts and real-time analytics. This shared visibility fosters mutual understanding and strengthens operational decisions.

By addressing this conflict head-on and providing actionable solutions, telecom operators can ensure that both marketing-sales and fraud teams work together to achieve their shared goal: a secure, profitable, and customer-centric telecommunications ecosystem.