Avatar Bot Detection Using Idle Challenges in Virtual Environments
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Bots in virtual environments, such as the metaverse, consume significant computing resources, disrupt user experiences, and pose security threats through fraudulent activities, yet existing detection methods are inefficient and resource-intensive.
Innovation Solution
A bot detection system that correlates spatial activity of avatars with chat interactions, identifies idle avatars, and provides challenges to confirm bot activity, executing security actions when challenges are not completed.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional bot detection methods are used, then bot activity can be identified, but significant computing resources and bandwidth are consumed
Solution Approach 1:
The system performs preliminary analysis by detecting idle avatars and issuing challenges before full bot detection is required. This preliminary action filters out obvious bot cases (idle avatars that don't respond to challenges) without consuming full detection resources on all users, thereby maintaining detection reliability while reducing overall computing resource consumption.
Solution Approach 2:
The system introduces an intermediary challenge mechanism between idle detection and full bot detection. Instead of directly consuming heavy resources to detect all bots, the system uses lightweight challenges as an intermediary step that requires minimal resources but effectively identifies bot behavior patterns, thus resolving the contradiction between detection accuracy and resource consumption.
2Object-affected harmful factors
If more resources are allocated to handle bots, then user experience disruption is reduced, but service provider costs increase
Solution Approach 1:
The system extracts and isolates bot traffic by identifying specific behavioral patterns (idle avatars failing challenges) and applying targeted security actions. This extraction approach removes harmful bot activity from the system without requiring resources to be allocated to all users, thereby reducing user experience disruption while minimizing additional server resource consumption.
Solution Approach 2:
The system changes the detection parameter from monitoring all user activities to specifically monitoring idle status and challenge response. This parameter change allows the system to effectively address bot-related user experience issues while consuming minimal server resources, as it only processes data for idle avatars rather than continuously monitoring all user interactions.
3Measurement precision
If continuous monitoring of all avatars is performed, then bot detection accuracy is improved, but processing power requirements increase
Solution Approach 1:
The system performs preliminary filtering by first identifying idle avatars before conducting challenge-based detection. This preliminary action reduces the monitoring scope from all avatars to only idle ones, maintaining detection precision for bot identification while significantly reducing the processing power required compared to continuous monitoring of all user activities.
Solution Approach 2:
The system applies partial monitoring by focusing only on idle avatars rather than all avatars. This partial action approach maintains sufficient detection precision for identifying bots (which tend to be idle) while reducing processing power requirements by excluding active users from monitoring, thereby resolving the contradiction between detection precision and processing power consumption.
Data Source
AI summary
Aspects of the present disclosure include: detecting, by a computing device, an avatar is chatting within a virtual environment; detecting, by the computing device, the avatar is idle for a predetermined amount of time; providing, by the computer device, a challenge to the idled avatar, determining, by the computer device, that the challenge has not been executed; and executing, by the computer device, a security action associated with the idled avatar.