# Anti-cheating System In order to build a fair economic system for DimeTime, we apply an algorithm that monitors user behavior to track abusing users and restrict their use of the service. The user behavior pattern abnormality detection monitoring algorithm is designed to identify users with abnormal patterns by comprehensively analyzing the user's attention span, reward earnings, GPS data, and Tokibune stats. The algorithm will be refined as data is accumulated, and will be able to defend against users who use fraudulent methods to disrupt the economic system. --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://en.docs.dimetime.io/anti-cheating-system.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.