헨젤과 그레텔 : 게임 내 아이템 거래를 기반으로 한 GFG 탐지 방안
Hansel and Gretel : GFG Detection Scheme Based on In-Game Item Transactions
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MMORPG 장르의 온라인 게임은 가상현실 내의 모든 유저가 평등하다는 철학을 바탕으로 시작되었다. 모든 유저는 시간이라는 공정한 자원을 바탕으로 노력하는 만큼 대응되는 재물 혹은 지위를 얻을 수 있다. 그러나 게임 봇은 이러한 공정한 경쟁을 해치는 주된 원인으로, 선량한 게임 유저들에게 상대적 박탈감을 주어 게임에서 이탈하게만든다. 게임 봇은 주로 GFG(Gold Farming Group)을 형성하여 활동하며, 게임 내의 재화를 무분별하게 수집하여 게임 내 경제 시스템에 악영향을 끼친다. 일반적인 게임 봇 탐지 알고리즘은 각각의 봇을 탐지하는 데에는 유용하나, 이는 GFG 전체가 아닌 일부이기에 보다 넓은 범위에서의 탐지가 필요하다. 본 연구에서는, MMORPG 장르에서 사용되는 아이템을 기반으로 GFG를 탐지하는 방안에 대해 제안한다. 게임 내에서 주로 거래되는 몇 가지아이템들을 선정하고, 해당 아이템들의 거래 내역을 각각 네트워크로 표현하였다. GFG의 봇들이 아이템을 주고받는 특성들을 파악하고 이를 바탕으로 국내 유명 온라인 게임의 실제 데이터에서 GFG의 아이템 거래 네트워크를 식별할 수 있었다.
Abstract
MMORPG genre is based on the belief that all users in virtual world are equal. All users are able to obtain thecorresponding wealth or status as they strive under the same resource, time. However, game bot is the main factor forharming this fair competition, causing benign gamers to feel a relative deprivation and deviate from the game. Game botsmainly form GFG(Gold Farming Group), which collects the goods in the game indiscriminately and adversely affects theeconomic system of the game. A general game bot detection algorithm is useful for detecting each bot, but it only coversfew portions of GFG, not the whole, so it needs a wider range of detecting method. In this paper, we propose a method ofdetecting GFG based on items used in MMORPG genre. Several items that are mainly traded in the game were selectedand the flows of those items were represented by a network. We Identified the characteristics of exchanging items of GFGbots and can identify the GFG’s item trade network with real datasets from one of the popular online games.
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