Network Filter Virtual Boundary Enforcement
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Solution Overview
Problem
Current geofencing solutions have limitations in detecting when a child exits a designated area due to large radius requirements and cannot consistently monitor social interactions, and existing monitoring devices face battery depletion issues due to continuous application execution.
Innovation Solution
Implementing virtual boundary enforcement using network filters that apply filters to network traffic, analyze data for potential boundary violations, and perform security actions, such as notifications, to enforce geofences and social fences with higher precision and without continuous background application execution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If geofencing solutions use a minimum radius of 150 to 200 meters, then the system can monitor location remotely, but it cannot detect when the child has exited the boundaries of the established geofence
Solution Approach 1:
The patent segments the monitoring system into multiple components: network filters that process network traffic separately from location data, enabling precise boundary detection without requiring a large geofence radius. The network filter analyzes individual data packets to determine exact location and boundary violations, breaking down the monitoring task into discrete analyzable units.
Solution Approach 2:
The patent introduces network traffic as an intermediary medium for monitoring. Instead of directly tracking location through GPS or other location services, the system uses network traffic (DNS requests, web browsing data) as an intermediary to infer location and detect boundary violations with high precision.
2Reliability
If applications execute continuously in the background to monitor social interactions, then the system can identify people near the child, but the computing device experiences battery depletion
Solution Approach 1:
The patent implements periodic monitoring through network filters that process network traffic at intervals rather than continuous monitoring. The system activates monitoring when network traffic is detected and suspends it when no traffic is present, creating a periodic action pattern that maintains monitoring reliability while reducing energy consumption.
Solution Approach 2:
The network filter operates autonomously to monitor social interactions without requiring continuous user intervention or background application execution. The filter self-manages the monitoring process by detecting network traffic patterns and automatically analyzing them for social interaction data, reducing the energy burden on the computing device.
3Measurement precision
If network filters are applied to analyze network traffic for boundary enforcement, then precise monitoring is achieved, but system complexity increases
Solution Approach 1:
The network filter is designed with multi-functionality to handle various monitoring tasks: geofence boundary detection, social interaction monitoring, and location tracking. By making the network filter universal and capable of performing multiple functions, the patent reduces the need for separate specialized components, thereby managing system complexity while maintaining high detection accuracy.
Data Source
AI summary
The disclosed computer-implemented method for virtual boundary enforcement using network filters may include (i) applying a network filter to network traffic associated with a target computing device, (ii) analyzing data generated by the network filter, (iii) identifying, based on an analysis of the data, a potential violation of a virtual boundary associated with the target computing device, and (iv) in response to identifying the potential violation, performing a security action to enforce the virtual boundary associated with the target computing device. Various other methods, systems, and computer-readable media are also disclosed.