Detection of malicious games
Some implementations relate detection of malicious games. In some implementations, a computer-implemented method includes obtaining a list of games that includes a plurality of games, analyzing the plurality of games to identify at least one likely malicious game, and creating a ticket.
1. A computer-implemented method comprising:
obtaining, by a processor, a list of games, wherein the list includes a plurality of games, wherein obtaining the list of games comprises querying a database that stores one or more game sorts, and wherein the list of games includes unique games in the game sorts;
calculating a first score for a game of the plurality of games based on respective feedback metrics received from a plurality of paying users;
calculating a second score for the game based on respective feedback metrics received from a plurality of non-paying users;
calculating a quality measure for the game based on aggregating the first score and the second score;
comparing the quality measure against a threshold;
determining the game to be a likely malicious game if the quality measure of the game meets the threshold; and
creating a ticket, wherein the ticket identifies the likely malicious game.
2. The computer-implemented method of claim 1 , further comprising applying a metric weight to each feedback metric from the plurality of paying users prior to calculating the first score.
3. The computer-implemented method of claim 1 , further comprising applying a score weight to the first score prior to calculating the quality measure.
4. The computer-implemented method of claim 1 , further comprising, prior to creating the ticket, verifying that a predetermined time period has elapsed from a previous ticket creation time associated with the likely malicious game.
5. The computer-implemented method of claim 1 , further comprising:
receiving the list of games that includes the likely malicious game;
removing the likely malicious game from the list of games to create a second list of games; and
generating a user interface that includes the second list of games.
6. The computer-implemented method of claim 1 , wherein the first score and the second score are respective Wilson scores.
7. The computer-implemented method of claim 1 , further comprising computing the threshold for the game based on a total number of the plurality of paying users and the plurality of non-paying users.
8. The computer-implemented method of claim 1 , wherein the feedback metrics include at least one of an upvote received for the game or a downvote received for the game.
9. The computer-implemented method of claim 1 , wherein the threshold is a predetermined parameter independent of a total number of the plurality of paying users of the game and the plurality of non-paying users of the game.
10. A non-transitory computer-readable medium comprising instructions that, responsive to execution by a processing device, causes the processing device to perform operations comprising:
obtaining a list of games, wherein the list includes a plurality of games, wherein obtaining the list of games comprises querying a database that stores one or more game sorts, and wherein the list of games includes unique games in the game sorts;
calculating a first score for a game of the plurality of games based on respective feedback metrics received from a plurality of paying users;
calculating a second score for the game based on respective feedback metrics received from a plurality of non-paying users;
calculating a quality measure for the game based on aggregating the first score and the second score;
comparing the quality measure against a threshold;
determining the game to be a likely malicious game when the quality measure of the game meets the threshold; and
creating a ticket, wherein the ticket comprises the likely malicious game.
11. The non-transitory computer-readable medium of claim 10 , wherein the operations further comprise applying a metric weight to each feedback metric from the plurality of paying users, prior to calculating the first score.
12. The non-transitory computer-readable medium of claim 10 , wherein the operations further comprise applying a score weight to the first score prior to calculating the quality measure.
13. The non-transitory computer-readable medium of claim 10 , wherein the first score and the second score are respective Wilson scores.
14. The non-transitory computer-readable medium of claim 10 , wherein the operations further comprise computing the threshold for the game based on a total number of the plurality of paying users and the plurality of non-paying users.
15. The non-transitory computer-readable medium of claim 10 , wherein the feedback metrics include at least one of an upvote received for the game or a downvote received for the game.
16. The non-transitory computer-readable medium of claim 10 , wherein the operations further comprise prior to creating the ticket, verifying that a predetermined time period has elapsed from a previous ticket creation time associated with the likely malicious game.
17. A system comprising:
a memory with instructions stored thereon; and
a processing device, coupled to the memory, the processing device configured to access the memory and execute the instructions, wherein the instructions cause the processing device to perform operations including:
obtaining a list of games, wherein the list includes a plurality of games, wherein obtaining the list of games comprises querying a database that stores one or more game sorts, and wherein the list of games includes unique games in the game sorts;
calculating a first score for a game of the plurality of games based on respective feedback metrics received from a plurality of paying users;
calculating a second score for the game based on respective feedback metrics received from a plurality of non-paying users;
calculating a quality measure for the game based on aggregating the first score and the second score;
comparing the quality measure against a threshold;
determining the game to be a likely malicious game when the quality measure of the game meets the threshold; and
creating a ticket, wherein the ticket comprises the likely malicious game.
18. The system of claim 17 , wherein the operations further comprise applying a metric weight to each feedback metric from the plurality of paying users, prior to calculating the first score.
19. The system of claim 17 , wherein the operations further comprise applying a score weight to the first score prior to calculating the quality measure.
20. The system of claim 17 , wherein the first score and the second score are respective Wilson scores.