What is Fraud Distribution Modeling?
Fraud distribution modeling is a class of analyses that uses mathematical distribution models to detect anomalous behavior. In modern fraud analyses, typical models include Click-Time-To-Install (CTIT) and it’s derivative Mean Click-Time-To-Install (mCTIT), also known as Mean Time To Install (MTTI).
Why Is This Important:
As a basic method of fraud analysis, distribution modeling takes advantage of existing knowledge of normal activity distribution and expected CTIT rates to highlight deviations from these trends.
Protect360’a Anomaly insights graph makes the job easier for you by highlighting potential fraud acts based on their activity’s deviation from the standard trend. Protect360 clients also enjoy the option of creating personalized benchmarks for more precise, individual data.
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