A method for preventing online games hacking using memory monitoring

Chang Seon Lee, Huy Kang Kim, Hey Rin Won, Kyounggon Kim

Research output: Contribution to journalArticlepeer-review

Abstract

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.

Original languageEnglish
Pages (from-to)141-151
Number of pages11
JournalETRI Journal
Volume43
Issue number1
DOIs
Publication statusPublished - 2021 Feb

Keywords

  • abuse monitoring
  • game abuse
  • injection detection
  • malware detection and damage recovery
  • memory map

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Computer Science(all)
  • Electrical and Electronic Engineering

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