Anti-cheat System

In order to protect the interests of the vast majority of users, we will continue to crack down on cheating users through various means. Cheating not only hurts other users' profits, but also goes against our core philosophy of "rewarding athletes". Basic technology layer anti-cheating Communication encryption, data encryption, to prevent hackers from cracking. Smart Anti-Cheat Through machine learning, deep learning and other methods, mathematical models are trained to gradually improve the accuracy of abnormal behavior recognition. Behaviors such as strapping mobile phones to pets. At the same time, we will also develop a variety of detection models for different behaviors, covering various possible cheating methods, such as the behavior of "carrying multiple mobile phones at the same time". Strategy Anti-Cheat Combined with the invitation mechanism and the punishment task mechanism, the cost of cheating will be greatly reduced, thereby reducing the motivation for cheating. Other Anti-Cheat Measures Anonymized public running data, such as GPS data, mobile phone sensor data, etc., are synchronized to the permanent storage of decentralized infrastructure (such as Arweave), and accepted by the community. Punishment Finding cheating will seriously affect the reward factor of running shoes, and cheaters will be punished.