Several methods exist for detecting hacking programs operating within online games. However, a significant amount of computational power is required to detect the illegal access of a hacking program in game clients. In this study, we propose a novel detection method that analyzes the protected memory area and the hacking program's process in real time. Our proposed method is composed of a three‐step process: the collection of information from each PC, separation of the collected information according to OS and version, and analysis of the separated memory information. As a result, we successfully detect malicious injected dynamic link libraries in the normal memory space.

中文翻译：

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一种使用内存监视防止网络游戏被黑客入侵的方法

存在几种用于检测在线游戏中运行的黑客程序的方法。但是，需要大量的计算能力来检测游戏客户端中对黑客程序的非法访问。在这项研究中，我们提出了一种新颖的检测方法，可以实时分析受保护的内存区域和黑客程序的进程。我们提出的方法包括三个步骤：从每台PC收集信息，根据操作系统和版本分离收集的信息，并对分离的内存信息进行分析。结果，我们成功地检测到正常内存空间中恶意注入的动态链接库。