Gaming Activity Data Flood Filtering for Reliable Search Processing
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Solution Overview
Problem
Collaboration platforms, such as gaming platforms, face issues with malicious users flooding the system with illegitimate data, which affects the reliability and relevance of search processes, leading to inefficient resource usage and storage overload.
Innovation Solution
Identify activity data based on user accounts and apply conditions to determine flood data, removing it when the threshold is met, thereby modifying the data to improve the gaming process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the gaming platform stores and processes all activity data from multiple users, then the completeness of data is improved, but the system storage capacity and processing speed deteriorate due to flood data
Solution Approach 1:
The patent extracts and removes flood data from the activity data set before processing. The system identifies activity data associated with malicious user accounts and removes this harmful subset, keeping only legitimate activity data for processing. This extraction resolves the contradiction by eliminating the harmful portion that slows down processing while preserving the useful legitimate data.
Solution Approach 2:
The patent changes the parameter of data quality by filtering activity data based on user account legitimacy. The system modifies the composition of activity data by removing entries associated with malicious accounts, thereby changing the data set from containing both legitimate and illegitimate data to containing only legitimate data, improving processing efficiency.
2Measurement precision
If the gaming platform retains all activity data for processing, then the accuracy of gaming processes is improved, but the resource consumption increases due to flood data
Solution Approach 1:
The system extracts and removes activity data from malicious user accounts before processing. By taking out the harmful flood data portion, the system reduces the total volume of data that needs to be processed, thereby reducing computational resource consumption and energy loss while maintaining accuracy on legitimate data.
Solution Approach 2:
The patent discards harmful flood data from malicious accounts and recovers only the useful legitimate activity data for processing. This selective discarding and recovery approach reduces resource consumption by eliminating unnecessary data processing while preserving the accuracy needed for legitimate gaming operations.
3Adaptability or versatility
If the system processes all activity data including flood data, then the comprehensiveness of analysis is improved, but the search result relevance deteriorates
Solution Approach 1:
The system extracts and removes activity data from malicious user accounts before performing gaming processes. By taking out the flood data portion that would contaminate search results, the system maintains analysis comprehensiveness on legitimate data while improving search result relevance by eliminating illegitimate entries.
4Quantity of substance
If the gaming platform stores complete activity data, then the data availability is improved, but the storage efficiency deteriorates due to flood data
Solution Approach 1:
The patent extracts and removes flood data from malicious user accounts from the stored activity data. This extraction improves storage efficiency by eliminating redundant and harmful data while preserving data availability for legitimate activity, effectively reducing the storage burden without losing useful information.
Data Source
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AI summary
A system and method identify activity data that is related to activity of a plurality of users of a gaming platform. The activity data is used by the gaming platform to perform a gaming process. The system and method identify first data of the activity data based on a first characteristic. The first data is a subset of the activity data. The system and method determine a number of times that the first data of the activity data meets a first condition. The system and method responsive to determining that the number of times that the first data of the activity data meets the first condition satisfies a first threshold, modify the activity data by removing the first data from the activity data. The system and method perform the gaming process using the modified activity data.