A63F13/75

Service for securely playing video games with publicized players
11559747 · 2023-01-24 · ·

One or more interfaces may be provided that indicate a plurality of times at which a plurality of publicized players are scheduled to play in a plurality of video games for which a plurality of player slots are acquired based on satisfaction of at least one acquisition criterion. Player access to the plurality of video games may be limited to the publicized players and a plurality of users that acquire the plurality of player slots. A request may be received, via the one or more interfaces, for a first user to acquire a first player slot for playing in a first video game with a first publicized player. It may be verified that the at least one acquisition criterion has been satisfied in relation to the first user. Game access information may be provided, to the first user, that allows the first user to enter the first video game.

METHOD, PROGRAM, SYSTEM, AND SERVER FOR PROGRAM VERIFICATION
20230016371 · 2023-01-19 · ·

Provided are a method, program, system, and server for verifying a game program. Provided is a method executed by a system for verifying a game program for executing a collaborative game with another player by using a deck including a plurality of game media, wherein a deck set includes a plurality of decks, a deck combination is a combination of decks used to execute one collaborative game, and a deck combination set includes a plurality of deck combinations. The method includes: executing the game program in a plurality of virtual instances generated in order to virtualize a user terminal for playing the game or the software environment of the user terminal; executing the collaborative game in a first mode until a predetermined verification coverage is reached; and executing the collaborative game in a second mode after the predetermined verification coverage has been reached.

METHOD, PROGRAM, SYSTEM, AND SERVER FOR PROGRAM VERIFICATION
20230016371 · 2023-01-19 · ·

Provided are a method, program, system, and server for verifying a game program. Provided is a method executed by a system for verifying a game program for executing a collaborative game with another player by using a deck including a plurality of game media, wherein a deck set includes a plurality of decks, a deck combination is a combination of decks used to execute one collaborative game, and a deck combination set includes a plurality of deck combinations. The method includes: executing the game program in a plurality of virtual instances generated in order to virtualize a user terminal for playing the game or the software environment of the user terminal; executing the collaborative game in a first mode until a predetermined verification coverage is reached; and executing the collaborative game in a second mode after the predetermined verification coverage has been reached.

REDUCING LATENCY IN ANTICHEAT DATAFLOW
20230016152 · 2023-01-19 ·

Systems and methods for generating and storing metrics are described herein. In particular, a game server may receive game activity data from one or more client devices connected to the game server via a network. The game server sends the activity data to an anticheat server that uses one or more nodes to each calculate a portion of the activity data to generate one or more metrics. The metrics may indicate whether the data is indicative of cheating behavior within a parallel reality game. The nodes add their respective generated metrics to a relational database using prepared insert statements. The anticheat server may instruct the game server to take action with respect to one or more client devices if the metrics indicate that cheating behavior was exhibited within the data.

REDUCING LATENCY IN ANTICHEAT DATAFLOW
20230016152 · 2023-01-19 ·

Systems and methods for generating and storing metrics are described herein. In particular, a game server may receive game activity data from one or more client devices connected to the game server via a network. The game server sends the activity data to an anticheat server that uses one or more nodes to each calculate a portion of the activity data to generate one or more metrics. The metrics may indicate whether the data is indicative of cheating behavior within a parallel reality game. The nodes add their respective generated metrics to a relational database using prepared insert statements. The anticheat server may instruct the game server to take action with respect to one or more client devices if the metrics indicate that cheating behavior was exhibited within the data.

SYSTEMS AND METHODS FOR DETECTING AND PREVENTING FRAUDULENT ACTIVITIES IN DIGITAL ADVERTISING
20230017815 · 2023-01-19 · ·

A system for detecting and preventing fraudulent activities in digital advertising, system including server arrangement that is communicably coupled with a user device. The server arrangement is configured to send a data element of given digital advertisement to the user device; receive user-interaction data from the user device responsive to rendering of the data element at the user device; receive sensor data from the user device, the sensor data being collected by at least one sensor of the user device during generation of user-interaction data; analyse at least one of: a number of taps indicated in user-interaction data, touch pressures during taps, sizes of touch areas on touchscreen during taps, locations of touch areas on touchscreen during taps, time stamps of taps, to detect whether the user of the user device is bot; and perform at least one action when analysis indicates that the user of the user device is bot.

SYSTEMS AND METHODS FOR DETECTING AND PREVENTING FRAUDULENT ACTIVITIES IN DIGITAL ADVERTISING
20230017815 · 2023-01-19 · ·

A system for detecting and preventing fraudulent activities in digital advertising, system including server arrangement that is communicably coupled with a user device. The server arrangement is configured to send a data element of given digital advertisement to the user device; receive user-interaction data from the user device responsive to rendering of the data element at the user device; receive sensor data from the user device, the sensor data being collected by at least one sensor of the user device during generation of user-interaction data; analyse at least one of: a number of taps indicated in user-interaction data, touch pressures during taps, sizes of touch areas on touchscreen during taps, locations of touch areas on touchscreen during taps, time stamps of taps, to detect whether the user of the user device is bot; and perform at least one action when analysis indicates that the user of the user device is bot.

SYSTEMS AND METHODS FOR BEHAVIOR-BASED CHARACTERIZATION OF AVATARS IN A COMPUTER-GENERATED ENVIRONMENT
20230014321 · 2023-01-19 ·

Systems and methods for a computer-based process that detects improper behavior of avatars in a computer-generated environment, and marks these avatars accordingly, so that other users may perceive marked avatars as bad actors. Systems of embodiments of the disclosure may monitor avatar speech, text, and actions. If the system detects behavior it deems undesirable, such as behavior against any laws or rules of the environment, abusive or obscene language, and the like, avatars committing or associated with this behavior are marked in some manner that is visually apparent to other users. In this manner, improperly-behaving avatars may be more easily recognized and avoided, thus improving the experience of other users.

CLASSIFYING GAMING ACTIVITY TO IDENTIFY DESIRABLE BEHAVIOR
20230219007 · 2023-07-13 ·

A method of controlling online gaming behavior. The method including monitoring at a game server a plurality of game plays of a plurality of players playing a video game in a gaming session over a period of time. The method including extracting features from the plurality of game plays related to a plurality of activities associated with the plurality of game plays, the plurality of activities being controlled by the plurality of players. The method including running the features through an artificial intelligence (AI) learning model configured to classify the plurality of activities. The method including classifying an activity as abusive behavior.

CLASSIFYING GAMING ACTIVITY TO IDENTIFY DESIRABLE BEHAVIOR
20230219007 · 2023-07-13 ·

A method of controlling online gaming behavior. The method including monitoring at a game server a plurality of game plays of a plurality of players playing a video game in a gaming session over a period of time. The method including extracting features from the plurality of game plays related to a plurality of activities associated with the plurality of game plays, the plurality of activities being controlled by the plurality of players. The method including running the features through an artificial intelligence (AI) learning model configured to classify the plurality of activities. The method including classifying an activity as abusive behavior.