AI Security System for Virtual Objects in Distributed Networks
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Solution Overview
Problem
Existing systems fail to effectively maintain the security of virtual objects in distributed networks, particularly in virtual worlds where malicious actors can interact with, damage, or misappropriate avatars and objects.
Innovation Solution
A system utilizing three artificial intelligence engines to determine user motives, access paths, and generate user-specific visual content in a virtual world. This system includes a processing device and storage with computer program code to manage user access, detect deviations, and restrict movement based on user privileges and motives.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional security systems are used in virtual worlds, then system simplicity is maintained, but security effectiveness against malicious actors deteriorates
Solution Approach 1:
The security system is divided into three specialized AI engines: a motive determination engine that analyzes user intentions, an access path determination engine that identifies potential attack routes, and a visual content generation engine that creates protective overlays. This segmentation allows each component to specialize in a specific security function, improving overall effectiveness while managing complexity through modular design.
Solution Approach 2:
The system performs preliminary security actions by determining user motives and access paths before malicious activities occur. The motive determination engine continuously analyzes avatar behavior to identify suspicious intentions early, and the access path engine pre-identifies potential attack routes, enabling preventive security measures rather than reactive responses.
2Reliability
If comprehensive security monitoring is implemented to detect all malicious activities, then security coverage is improved, but computational resource consumption increases
Solution Approach 1:
The system applies partial monitoring by focusing computational resources on high-risk areas identified by the access path determination engine. Rather than uniformly monitoring all virtual world activities, the system concentrates analysis on avatars and regions with detected suspicious motives or identified access paths to vulnerable objects, achieving effective security coverage with reduced computational overhead.
Solution Approach 2:
The visual content generation engine acts as an intermediary that creates protective overlays and visual distractions to deter malicious actors without requiring direct intervention in every interaction. This intermediary layer provides security coverage by modifying the visual environment to protect vulnerable objects while consuming fewer resources than comprehensive real-time analysis of all avatar interactions.
3Reliability
If user-specific visual content is generated to protect confidential information, then information security is improved, but processing time increases
Solution Approach 1:
The visual content generation engine pre-generates protective visual overlays and confidential information shielding before users access sensitive areas or interact with protected objects. By preparing these visual protective elements in advance based on predicted access paths and user motives, the system reduces real-time processing delays while maintaining continuous information security.
Solution Approach 2:
The system applies visual content generation selectively to specific regions and objects where confidential information is located, rather than generating visual protective content for the entire virtual world. This localized approach concentrates processing resources on high-value targets, improving information security for critical assets while minimizing overall processing time and resource consumption.
Data Source
AI summary
Systems, computer program products, and methods are described herein for maintaining security of virtual objects in a distributed network. Some embodiments are directed to a system including a first artificial intelligence engine configured to determine motives of users associated with avatars in a virtual world and a second artificial intelligence engine configured to determine access paths of the avatars in the virtual world. The system may include a third artificial intelligence engine configured to generate visual content based on attributes of the users, the motives of the users, and the access paths of the avatars. The system may be configured to detect diversions from access paths, determine updated motives of users, determine whether the diversions are permissible, and restrict movement of the avatar within the virtual world.