Preventing Automated Hunting with Emulator Environment Detection – LIAPP Implementation
Hello!
Today, I'd like to share a real-world example of implementing LIAPP to block automated hunting and repetitive bots in a mobile game environment.
One of the concerns many development teams face when servicing mobile games is the disruption of game balance caused by abnormal players. A key issue is automated hunting and repetitive macro execution using emulators.
Automated Hunting & Macros: Why Are They a Problem?
Recently, many users are using PC-based Android emulators to enjoy mobile games for convenience. However, some users are using macro bots in this environment for automated hunting, repetitive collection, and resource farming, which can lead to the following problems:
- Destruction of fair competition
- Economic system imbalance
- Excessive consumption of server resources
- Increased user attrition
The development team needs security features that continuously detect and address abnormal activity.
Background for Introducing LIAPP: Strengthening Emulator Monitoring and Response to Macros and Hacking Tools
Mobile game services are constantly facing various security threats. In particular, attempts to directly disrupt game balance, such as automated macros or memory hacking, can have a significant negative impact on service quality and user experience.
To more systematically detect and respond to these threats, we introduced LIAPP, a mobile security solution.
LIAPP is an all-in-one security service for mobile app protection. It excels at detecting macros and hacking tools while also providing comprehensive monitoring of the emulator environment.
Emulators are particularly important for ensuring user accessibility, so we prioritize their use for threat analysis and monitoring, rather than outright blocking.
Key Security Threats
- Repetitive Automation Scripts (AutoHotKey, Macros, etc.)
- Memory Modification Tools and Hooking Tools
- Modification Attempts Using Rooting and Debugging
- Emulator-Based Operating Environments
- BlueStacks, Nox, LDPlayer, etc.
LIAPP Application Methods
1. Emulator Environment Monitoring
- Analysis of various emulators (BlueStacks, Nox, MEmu, etc.)
- Environment Analysis Based on Virtualization, Device Properties, Device ID, etc.
- Enhanced Monitoring Functions for Malicious Pattern Detection and User Group Analysis
- Response with Warning Messages or Restrictions if Necessary
2. Detection of Automation Tools and Macros
- Analysis of Touch Input Patterns (Repeated Coordinates, Same-Spacing Input) etc.)
- Precisely identifies automated script behavior
- Various responses available upon detection, including warnings, execution restrictions, and server log integration
3. Blocking Hacking and Modification Attempts
- Detects and blocks memory manipulation tools
- Blocks hooking/debugging attempts
- Restricts execution on rooted devices
- Provides security logs that can be linked to server sanction systems
Application Effects
After implementing LIAPP, the percentage of in-game auto-hunting and macro players significantly decreased, while game satisfaction and retention for legitimate users simultaneously improved.
- Reduced operational burden
- Increased detection rate of cheating
- Stabilized game economy
- Increased positive feedback from the community
Above all, we were extremely satisfied with the fact that the implementation of the security solution did not impact game performance or UX at all.
In conclusion
Maintaining a fair competitive environment is paramount in mobile game operations. Failure to prevent automated play in emulator environments could destabilize the entire gaming ecosystem.
LIAPP goes beyond simple detection to support execution control, environment monitoring, and security log provision, making it a highly effective security partner for mobile game operators.
We will continue to invest in security to create a safer and fairer gaming environment.
When it comes to game security, prevention is the best approach.
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