Anti-Fraud is a system designed to detect and prevent fraud in affiliate and partner marketing. Scammers are always finding new ways to trick advertisers and affiliate networks. They use methods like creating fake traffic from bot farms, fake registrations, and even viruses that infect users’ networks. These activities hurt businesses by reducing profits and damaging trust between partners.
How Anti-fraud works in UCLIQ
To stop fraud, you need more than just a simple plugin that checks IP addresses. Modern fraud systems need to analyze traffic in real time using advanced tools. UCLIQ’s system does just that. It uses machine learning to analyze traffic, detect suspicious activity, and protect against fraud.
Analysis, detection, and prevention
UCLIQ analyzes incoming traffic with multiple checks. It doesn’t just rely on basic methods like checking IP addresses. Instead, it looks at detailed factors such as the device’s parameters, matching them with patterns of previous fraud attempts.
Key steps:
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Checking IP addresses for repeat visits and known click farms.
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Analyzing device details to make sure they match real systems.
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Comparing traffic patterns with historical data to detect suspicious activity.
UCLIQ is fully integrated with the platform, so it can analyze traffic in real-time and use historical data to identify potential fraud.
How fraud detection works:
For each suspicious click, UCLIQ checks various features such as:
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Using VPNs or bots (common in corporate networks).
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Mismatch of connection type (e.g., VPN or emulator).
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Repeated attempts from the same device.
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Language mismatch (browser and IP).
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Time zone mismatch (device and IP).
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Touch support issues (emulator detection).
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Repeated use of IP addresses.
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Suspicious traffic sources (e.g., from social media or instant messengers).
Each feature match adds risk points to the click. These risk points help UCLIQ identify high-risk traffic.
Levels of fraud detection
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At the click level:
Traffic that matches suspicious patterns is sent to a fallback address, so it doesn't affect your campaigns.
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At the advertiser's conversion level:
If a conversion comes from a click with high risk points, the system will stop generating payouts for it and send it for manual review by the manager.
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After generating payments to publishers:
If the payment has already been processed, the system can cancel it if it detects fraud, ensuring that publishers are not paid for fraudulent conversions.