Dynamic Network Pairing for Privacy Protection
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Solution Overview
Problem
Existing communication networks lack user control and anonymity, making users vulnerable to misuse as their personal information can be accessed and exploited by unwanted solicitors.
Innovation Solution
A system and method for dynamic network pairings that allow end-to-end communications between electronic devices, using a network-connected communication control computer to manage permissions and affinity groups, creating temporary or permanent permission tokens based on subscriber access scores to control and secure communication channels.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If existing communication networks connect endpoint addresses in a complete interconnected mesh, then network connectivity and accessibility are improved, but user privacy and anonymity deteriorate as personal information becomes vulnerable to misuse and abuse
Solution Approach 1:
The patent introduces a communication control computer as an intermediary between endpoint addresses. This mediator manages network pairings dynamically, controlling which devices can communicate without exposing endpoint addresses to each other. The intermediary filters and manages connections, allowing network connectivity while protecting user privacy by preventing direct exposure of personal information.
Solution Approach 2:
The patent implements dynamic network pairings where connections are not static but actively managed in real-time. The communication control computer continuously evaluates pairing requests, generates permission tokens dynamically, and adjusts network connectivity based on current conditions. This dynamic approach allows the system to provide connectivity when needed while maintaining privacy protection by controlling access on-demand rather than through permanent connections.
2Ease of operation
If open communication channels are provided to allow any endpoint to access and connect to any other endpoint, then ease of operation is improved, but harmful factors increase as contact information can be mined and sold to unwanted solicitors
Solution Approach 1:
The patent implements preliminary evaluation and filtering of communication requests before they are fulfilled. The communication control computer assesses pairing requests against stored criteria and generates permission tokens in advance of actual communication. This preliminary action ensures that only authorized communications proceed while blocking potential data mining attempts before they can access personal information.
Solution Approach 2:
The system incorporates feedback mechanisms where the communication control computer monitors communication patterns and adjusts permission granting accordingly. By tracking communication behavior and evaluating subsequent requests against established criteria, the system can identify and block patterns associated with data mining or unwanted solicitation while maintaining ease of operation for legitimate communications.
3Object-affected harmful factors
If dynamic network pairings with multiple evaluation steps and permission tokens are implemented, then user control and privacy protection are improved, but device complexity increases
Solution Approach 1:
The communication control computer operates autonomously to manage network pairings, evaluating requests and generating permission tokens without requiring complex user configuration. The system self-manages the complexity by automatically storing and applying pairing criteria, continuously monitoring communications, and making authorization decisions based on pre-established rules. This self-service approach protects privacy through sophisticated controls while presenting a simple interface to users.
Data Source
AI summary
System and method for configuring network pairings enabling end-to-end communications between electronic devices is disclosed. The system comprises a communication control server that receives a communication object containing a dialog between a first device and an AI chatbot, including a network pairing request to communicate with a second device. Natural language processing is performed on the dialog to determine communication context, including identifying key topics, analyzing sentiment and urgency, determining intent, extracting temporal information, and identifying requirements. The server generates handling criteria based on the NLP output, context, intent, and second device preferences. An appropriate communication channel is selected based on context and intent. A dynamic network pairing is created between the devices using the handling criteria, intent, and selected channel. The communication object is then transmitted to the second device using the created network pairing. The system can adapt to real-time feedback and suggest responses based on historical patterns.