Peripheral Data Routing via Context-Aware AI Redirector
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Solution Overview
Problem
Computing devices face challenges in managing peripheral data across multiple applications and virtual execution environments, leading to issues like cross-pollination of data, security concerns, and privacy breaches, especially when running multiple applications simultaneously.
Innovation Solution
The implementation of input and output redirector circuitry that uses context data, including verbal, usage, and application context, along with AI-based models, to automatically route peripheral data to the intended applications or block it, ensuring that data is forwarded or blocked based on real-time context analysis without user intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If peripheral data is forwarded to multiple applications simultaneously, then all applications can access the data, but data security and privacy are compromised due to cross-pollination
Solution Approach 1:
The patent introduces an intermediary component (input redirector/output redirector) that sits between the peripheral data and multiple applications. This intermediary analyzes context data and intelligently routes data to the appropriate application, preventing unauthorized access while maintaining legitimate data flow. The redirector acts as a gatekeeper that balances accessibility with security.
Solution Approach 2:
The patent applies different access permissions and routing rules to different applications based on their specific context and requirements. Instead of a uniform approach, each application receives data according to its contextual needs, ensuring that sensitive data is only shared with applications that have legitimate access rights while maintaining security.
2Reliability
If manual user control is used to manage peripheral data routing, then data security can be maintained, but user experience deteriorates due to complex operation requirements
Solution Approach 1:
The patent implements a self-service system where the input redirector and output redirector automatically analyze context data and make routing decisions without requiring user intervention. The system monitors application contexts, verbal contexts, and usage patterns to autonomously determine the appropriate data routing, thereby maintaining security while eliminating operational complexity for users.
Solution Approach 2:
The patent employs feedback mechanisms where the redirector continuously monitors application behavior, context data, and data flow patterns. Based on this feedback, the system dynamically adjusts routing decisions to maintain security while optimizing data accessibility, all without user involvement.
3Measurement precision
If context analysis is performed in real-time, then accurate data routing is achieved, but system complexity and processing requirements increase
Solution Approach 1:
The patent performs preliminary analysis of context data, application profiles, and usage patterns before actual data routing occurs. By pre-processing and caching context information, the system reduces the computational burden during real-time routing decisions, maintaining high routing accuracy while managing system complexity through advance preparation.
Data Source
AI summary
Methods, apparatus, systems, and articles of manufacture to automatically provisional peripheral data are disclosed. An example apparatus includes at least one programmable circuit to use a machine learning model to select a first application or a second application based on context information associated with at least one of the first application, the second application, or an input signal from a peripheral device; and forward the input signal to the selected one of the first application or the second application.