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Volume 42 Issue 9
Sep.  2020
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Jianming FU, Zheng YANG, Chenke LUO, Jianwei HUANG. An Anti-cheat Method of Game Based on Windows Kernel Events[J]. Journal of Electronics & Information Technology, 2020, 42(9): 2117-2125. doi: 10.11999/JEIT190695
Citation: Jianming FU, Zheng YANG, Chenke LUO, Jianwei HUANG. An Anti-cheat Method of Game Based on Windows Kernel Events[J]. Journal of Electronics & Information Technology, 2020, 42(9): 2117-2125. doi: 10.11999/JEIT190695

An Anti-cheat Method of Game Based on Windows Kernel Events

doi: 10.11999/JEIT190695
Funds:  The National Natural Science Foundation of China(61972297, U1636107)
  • Received Date: 2019-09-09
  • Rev Recd Date: 2020-06-13
  • Available Online: 2020-07-18
  • Publish Date: 2020-09-27
  • In view of many limitations of current client anti plug-in methods, an anti-cheat method based on kernel events is proposed, and the network game anti-cheat system called CheatBlocker is implemented. This method uses the kernel event monitoring provided by Windows to intercept the abnormal access between processes and the injection of abnormal modules. At the same time, the anti-cheat Dynamic Loaded Library (DLL) injected from the kernel can block the simulation of the mouse keyboard. The experimental results show that CheatBlocker can defend against process module injection cheating and user input simulation cheating, and has low performance overhead. Moreover, CheatBlocker does not need to modify the kernel data or code which ensures the integrity of the kernel and is more compatible than the current anti-cheat systems.
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  • 腾讯游戏研发部游戏安全中心. 游戏安全: 手游安全技术入门[M]. 北京: 电子工业出版社, 2016.

    Game Security Center of Tencent Game R & D Department. Game Security: Introduction to Mobile Security Technology[M]. Beijing: Electronic Industry Press, 2016.
    YAN J J and CHOI H J. Security issues in online games[J]. The Electronic Library, 2002, 20(2): 125–133. doi: 10.1108/02640470210424455
    YAN J and RANDELL B. A systematic classification of cheating in online games[C]. The 4th ACM SIGCOMM Workshop on Network and System Support for Games, New York, USA, 2005: 1–9. doi: 10.1145/1103599.1103606.
    KABUS P, TERPSTRA W W, CILIA M, et al. Addressing cheating in distributed MMOGs[C]. The 4th ACM SIGCOMM Workshop on Network and System Support for Games, New York, USA, 2005: 1–6. doi: 10.1145/1103599.1103607.
    CHOI Y, CHANG S J, KIM Y, et al. Detecting and monitoring game bots based on large-scale user-behavior log data analysis in multiplayer online games[J]. The Journal of Supercomputing, 2016, 72(9): 3572–3587. doi: 10.1007/s11227-015-1545-2
    罗平, 徐倩华. 网络游戏外挂技术及检测[J]. 计算机工程与设计, 2007, 28(6): 1273–1276. doi: 10.3969/j.issn.1000-7024.2007.06.011

    LUO Ping and XU Qianhua. Hack technology and detection of online games[J]. Computer Engineering and Design, 2007, 28(6): 1273–1276. doi: 10.3969/j.issn.1000-7024.2007.06.011
    杨英杰, 冷强, 常德显, 等. 基于属性攻击图的网络动态威胁分析技术研究[J]. 电子与信息学报, 2019, 41(8): 1838–1846. doi: 10.11999/JEIT181025

    YANG Yingjie, LENG Qiang, CHANG Dexian, et al. Research on network dynamic threat analysis technology based on attribute attack graph[J]. Journal of Electronics &Information Technology, 2019, 41(8): 1838–1846. doi: 10.11999/JEIT181025
    CHANG H and ATALLAH M J. Protecting software code by guards[C]. ACM CCS-8 Workshop DRM on Security and Privacy in Digital Rights Management, Berlin, Germany, 2001: 160–175. doi: 10.1007/3-540-47870-1_10.
    THE L B and KHANH V N. GameGuard: A windows-based software architecture for protecting online games against hackers[C]. The Symposium on Information and Communication Technology, Hanoi, Vietnam, 2010: 171–178. doi: 10.1145/1852611.1852643.
    梁光辉, 庞建民, 单征. 基于代码进化的恶意代码沙箱规避检测技术研究[J]. 电子与信息学报, 2019, 41(2): 341–347. doi: 10.11999/JEIT180257

    LIANG Guanghui, PANG Jianmin, and SHAN Zheng. Malware sandbox evasion detection based on code evolution[J]. Journal of Electronics &Information Technology, 2019, 41(2): 341–347. doi: 10.11999/JEIT180257
    WOO J, KANG A R, and KIM H K. The contagion of malicious behaviors in online games[J]. ACM SIGCOMM Computer Communication Review, 2013, 43(4): 543–544. doi: 10.1145/2534169.2491712
    AHMAD M A, KEEGAN B, SRIVASTAVA J, et al. Mining for gold farmers: Automatic detection of deviant players in mmogs[C]. 2009 International Conference on Computational Science and Engineering, Vancouver, Canada, 2009: 340–345. doi: 10.1109/cse.2009.307.
    KWON H, MOHAISEN A, WOO J, et al. Crime scene reconstruction: Online gold farming network analysis[J]. IEEE Transactions on Information Forensics and Security, 2017, 12(3): 544–556. doi: 10.1109/tifs.2016.2623586
    CHUNG Y, PARK C Y, KIM N R, et al. Game bot detection approach based on behavior analysis and consideration of various play styles[J]. ETRI Journal, 2013, 35(6): 1058–1067. doi: 10.4218/etrij.13.2013.0049
    DUH H B L and CHEN V H. Cheating behaviors in online gaming[C]. The 3rd International Conference on Online Communities and Social Computing, Berlin, Germany, 2009: 567–573. doi: 10.1007/978-3-642-02774-1_61.
    傅建明, 彭碧琛, 杜浩. 一种组件加载漏洞的动态检测[J]. 清华大学学报: 自然科学版, 2012, 52(10): 1356–1363, 1369. doi: 10.16511/j.cnki.qhdxxb.2012.10.007

    FU Jianming, PENG Bichen, and DU Hao. Dynamic detection of component loading vulnerability[J]. Journal of Tsinghua University:Science and Technology, 2012, 52(10): 1356–1363, 1369. doi: 10.16511/j.cnki.qhdxxb.2012.10.007
    HOGLUND G and MCGRAW G. Exploiting Online Games: Cheating Massively Distributed Systems[M]. New York, USA: Addison-Wesley Professional, 2007: 119–125.
    WEBB S D and SOH S. Cheating in networked computer games: A review[C]. The 2nd International Conference on Digital Interactive Media in Entertainment and Arts, Perth, Australia, 2007: 105–112. doi: 10.1145/1306813.1306839.
    LIU H I and LO Y T. DaCAP-a distributed Anti-Cheating peer to peer architecture for massive multiplayer on-line role playing game[C]. The 8th IEEE International Symposium on Cluster Computing and the Grid (CCGRID), Lyon, France, 2008: 584–589. doi: 10.1109/ccgrid.2008.49.
    SEBASTIO S, AMORETTI M, MURGA J R, et al. Honest vs Cheating Bots in PATROL-based Real-time Strategy MMOGs[M]. CAGNONI S, MIROLLI M, and VILLANI M. Evolution, Complexity and Artificial Life. Heidelberg: Germaay, Springer, 2014: 225–238. doi: 10.1007/978-3-642-37577-4_15.
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