20240017178. DETECTING COLLUSION IN ONLINE GAMES simplified abstract (Electronic Arts Inc.)
Contents
DETECTING COLLUSION IN ONLINE GAMES
Organization Name
Inventor(s)
Laura Greige of Boston MA (US)
Meredith Trotter of San Francisco CA (US)
Sundeep Narravula of Saratoga CA (US)
Navid Aghdaie of San Jose CA (US)
Fernando De Mesentier Silva of San Francisco CA (US)
DETECTING COLLUSION IN ONLINE GAMES - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240017178 titled 'DETECTING COLLUSION IN ONLINE GAMES
Simplified Explanation
The abstract describes a collusion detection system for online gaming that can identify and detect collusion between entities participating in the game. The system analyzes social data and in-game behavior data of the entities to determine pairwise feature sets. Anomaly detection is then performed on these feature sets to identify any suspicious pairings that may indicate collusion.
- The system detects collusion between entities in online gaming.
- It identifies a plurality of entities and opponents within an online game.
- Social data and in-game behavior data of the entities are analyzed.
- Pairwise feature sets are determined based on the social and behavior data.
- Anomaly detection is performed on the feature sets.
- Suspicious pairings indicating collusion are output as suspect pairings.
Potential applications of this technology:
- Enhancing fair gameplay in online gaming platforms.
- Preventing cheating and collusion among players.
- Improving the overall gaming experience for honest players.
Problems solved by this technology:
- Detecting and preventing collusion between entities in online gaming.
- Identifying suspicious activities that may indicate unfair gameplay.
- Promoting a level playing field for all players.
Benefits of this technology:
- Ensures fair competition and integrity in online gaming.
- Enhances the trust and credibility of online gaming platforms.
- Reduces the negative impact of cheating and collusion on the gaming community.
Original Abstract Submitted
a collusion detection system may detect collusion between entities participating in online gaming. the collusion detection system may identify a plurality of entities associated with and opponents within an instance of an online game, determine social data associated with the plurality of entities, determine in-game behavior data associated with the plurality of entities, and determine, for one or more pairings of the plurality of entities, respective pairwise feature sets based at least in part on the social data and the in-game behavior data. the collusion detection system may then perform anomaly detection on the respective pairwise feature sets and, in response to the anomaly detection detecting one or more anomalous pairwise feature sets, output one or more suspect pairings of the plurality of entities corresponding to the one or more anomalous pairwise feature sets as suspected colluding pairings.
