Anomaly detection method and device for MMORPGs

An anomaly detection and game technology, applied in the field of anomaly detection, can solve the problems of inaccurate identification, easy failure of detection methods, and manual work.

Inactive Publication Date: 2017-09-15
ZHEJIANG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0008] The present invention aims to solve the inaccurate detection and identification of the existing MMORPGs plug-in abnormalities, or the detection is too one-sided, the detection means are prone to failure, and manual m

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  • Anomaly detection method and device for MMORPGs
  • Anomaly detection method and device for MMORPGs

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Embodiment Construction

[0067] An anomaly detection method for MMORPGs games, specifically:

[0068] 1. Construct a fixed-length timing vector

[0069] According to the vector construction method described before, the original log has been discretized at four levels: event level, user-level, user-level, and column-normalized user-level, so as to convert unstructured data into structured and aligned fixed-length timing vector.

[0070] Phase 1: Raw log discretization, event e i =(u,t,m,p). Each operation of the player in the game is mapped to a point in the four-dimensional space of "player id-time stamp-operation id-parameter". The data in the original log exists in the form of unstructured text, and the introduction of quadruples can provide a structured abstraction of the smallest actions of the player.

[0071] Phase 2: Aggregate events by player to get player operation sequence (u j ,{e i} j ), that is, player u j and its event trajectory {e of length i i} j . Since the original logs a...

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Abstract

The invention discloses an efficient and reliable anomaly detection method for MMORPGs. The method comprises the steps of 1, mapping a player event to a ''player ID-timestamp-operation ID-parameter'' four-dimensional space by means of a tetrad, aggregating the full-scale events of all players, splitting a player sequence into rank sequences with upgrading as the time point for splitting, and conducting operation frequency statistics on the rank sequences; 2, conducting event frequency extraction on all users based on the same rank, and conducting normalization on each event frequency; 3, taking operation union sets of all players according to rank, and conducting equal-length extension on the operation of each player to obtain a numeric type vector; and 4, conducting column-based clustering, conducting dimensionality reduction on k events with the best clustering effect, conducting secondary clustering, dividing players into a plug-in cluster and multiple normal clusters, and conducting clustering on the clusters with the highest recall rate, so that detection is achieved. Corresponding detection devices include a log discretization module, a MeanShift module, a normalization module, a dimensionality reduction module, a primary clustering module and modules before the primary clustering module. The efficient and reliable anomaly detection method for MMORPGs is used for plug-in detection of MMORPGs.

Description

technical field [0001] The invention relates to external technical data processing in the computer field, specifically, including feature transformation and clustering technology in machine learning, and proposes an abnormality detection method and device for MMORPGs games. Background technique [0002] Massively multiplayer online role-playing games (Multi-User Online Role-Playing Games—MMORPGs) provide players with a complete fictional world, and support behaviors such as fighting monsters, buying equipment, and trading, with a rich gaming experience. However, with the expansion of the number of game players, it also leads to the proliferation of game cheats. Plug-ins use programs instead of humans to play games, and realize automatic money making, upgrades, and transactions with real players for the purpose of profit. These plug-ins can usually simulate the behavior of real players in large quantities, [0003] And seriously damage the economic system of the game, and c...

Claims

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Application Information

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IPC IPC(8): A63F13/75A63F13/79A63F13/822
CPCA63F13/75A63F13/79A63F13/822A63F2300/535A63F2300/5533A63F2300/5586
Inventor 刘勇高少文马新强范婧
Owner ZHEJIANG UNIV
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