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

    4 Citations (Scopus)

    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

    Bibliographical note

    Publisher Copyright:
    © 2020 ETRI

    Keywords

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

    ASJC Scopus subject areas

    • Electronic, Optical and Magnetic Materials
    • General Computer Science
    • Electrical and Electronic Engineering

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