Server-Based Anti-Cheating Detection for Inflated Hit Rates
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Solution Overview
Problem
Existing technologies fail to accurately detect and recognize cheating users who inflate hit rates by forging terminal information, leading to inaccurate collection of media information display statistics.
Innovation Solution
An information processing method and server system that analyze terminal log information to determine regional information and identify terminals with abnormal region distribution patterns, marking them as abnormal based on predefined thresholds, thereby improving the accuracy of hit rate collection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If existing anti-cheating detection policies are used, then the system is simple to operate, but cheating users cannot be accurately detected and recognized
Solution Approach 1:
The patent segments the detection process into multiple independent modules: terminal information acquisition module, regional information determination module, abnormal terminal identification module, and media information display place identification module. Each module handles a specific aspect of the detection process, allowing for precise detection while maintaining manageable system complexity through modular design.
Solution Approach 2:
The patent introduces a new detection dimension by analyzing the regional information distribution of terminals. Instead of relying solely on traditional terminal identification methods, the system examines the geographic distribution patterns of terminal access across multiple regions, adding a spatial dimension to the detection process that significantly improves cheating detection accuracy.
2Adaptability or versatility
If terminal information is forged by technical means, then one mobile terminal can be recognized as multiple terminals, but this leads to inaccurate hit rate statistics
Solution Approach 1:
The patent implements a feedback mechanism where the system continuously monitors and analyzes the regional information distribution of terminals. When a terminal's access pattern across multiple regions deviates from normal behavior, the system identifies it as abnormal and adjusts its recognition accordingly, providing feedback that prevents forged terminals from inflating hit rates.
Solution Approach 2:
The patent performs preliminary analysis of terminal regional information distribution before finalizing hit rate statistics. By pre-identifying abnormal terminals based on their regional access patterns, the system prevents these terminals from contaminating the hit rate data, ensuring accurate statistics are collected only from legitimate terminals.
3Productivity
If hit simulation technologies are used, then cheating users can generate inflated hit rates, but existing technologies cannot detect these cheats
Solution Approach 1:
The patent applies dynamic analysis to terminal behavior patterns by continuously monitoring regional information distribution over time. The system adapts to changing behaviors and identifies anomalies in real-time, allowing it to detect hit simulation technologies regardless of how efficiently they generate hits, thereby maintaining the reliability of hit rate statistics.
Data Source
AI summary
Embodiments of the present disclosure disclose an information processing method, a server, and a non-volatile storage medium. The method includes obtaining first log information in a first time period and then obtaining, based on the first log information, terminal information of a terminal that performs a hit behavior on a media information display place. The method includes determining, based on the terminal information, regional information corresponding to the terminal, where the regional information is used to indicate a region in which the terminal is located. The method also includes determining whether the number of regions in which the terminal is located is greater than a first threshold in a preset time range according to the regional information. The method further includes, when the number is greater than the first threshold, obtaining first terminal information of the terminal and determining that the terminal is an abnormal terminal.