Virtual Presence Reconciliation Using Static and Dynamic User Variables
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Solution Overview
Problem
Existing systems lack robust and efficient methods for securely reconciling an individual's physical presence with their virtual presence, particularly in real-time, while preventing unauthorized access and maintaining user control over their online identity.
Innovation Solution
A PVR device or system that utilizes both substantially static user variables (SSVs) for precise authentication and substantially dynamic user variables (SDVs) for continuous real-time verification, combining them to provide secure and efficient user verification and data transmission, with mechanisms to detect and respond to anomalies.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional authentication methods are used, then system complexity is reduced, but security and reliability of virtual presence reconciliation deteriorates
Solution Approach 1:
The patent segments authentication into two distinct types: substantially static user variables (SSVs) for initial identification and substantially dynamic user variables (SDVs) for continuous verification. This segmentation allows the system to use simple static credentials initially while layering complex dynamic biometric verification only when needed, thereby improving security without permanently increasing system complexity.
Solution Approach 2:
The system performs preliminary authentication using SSVs (such as passwords or static biometric data) before engaging the more complex SDV verification processes. This preliminary action filters out obvious unauthorized access attempts early, reserving the computationally intensive dynamic verification for cases where static authentication succeeds but suspicious activity is detected.
2Reliability
If continuous real-time verification is implemented, then security against unauthorized access is improved, but loss of time and processing overhead increases
Solution Approach 1:
Instead of continuous verification, the system implements periodic authentication using SDVs at strategically determined intervals based on risk assessment, user behavior patterns, and session duration. This periodic approach maintains security by regularly verifying user identity while minimizing time loss by not requiring constant verification during low-risk periods.
Solution Approach 2:
The verification frequency and type are dynamically adjusted based on contextual factors such as location changes, device changes, time of day, and detected anomaly patterns. The system transitions between different verification modes (from simple SSV checks to more rigorous SDV verification) based on real-time risk assessment, optimizing both security and user convenience.
3Measurement precision
If multiple sensor types are integrated, then measurement precision and authentication accuracy are improved, but device complexity and cost increase
Solution Approach 1:
The system implements different levels of verification precision locally tailored to specific contexts and user profiles. Not all users require the same level of verification, and not all authentication scenarios demand the full suite of sensors. The system selectively activates specific sensor types based on the authentication context, user risk profile, and detected anomaly severity, thereby improving accuracy where needed while managing complexity through selective deployment.
4Reliability
If dynamic user variables are monitored continuously, then real-time detection of anomalies is improved, but use of energy and processing resources increases
Solution Approach 1:
The system uses feedback from initial SSV authentication and contextual information to dynamically adjust the intensity and frequency of SDV monitoring. When authentication is straightforward and context indicates low risk, monitoring is reduced to conserve energy. When anomalies are detected or risk factors are present, the system intensifies monitoring temporarily, using feedback loops to maintain security while optimizing resource consumption during normal operation.
Data Source
AI summary
A physical, virtual reconciliation (“PVR”) system senses physical information about an individual user and uses that information to create, modify, or secure a virtual presence of the user. In one embodiment, the PVR system includes at least one physical device kept by the user (e.g., either at home or on the user's person) and configured to transmit a stream of substantially dynamic user variable values, at least one physical device kept by the user and configured to transmit substantially static user values, and a PVR server running software to analyze the values. In one embodiment, the PVR system provides for, among other things, reconciliation of an individual's physical presence with their virtual presence in a manner that ensures a security, including preventing the virtual presence from being appropriated, and control of the transmission of information about the user to third-parties.