Social-Graph Policy Engine for Home Network Security
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Home network administrators face challenges in creating customized security policies for diverse users and devices, requiring expertise in cybersecurity threats and complex network management, which is time-consuming and often beyond the capabilities of average homeowners.
Innovation Solution
A system utilizing social network information to configure security policies through a Recommendation Engine, which aggregates user properties from social media platforms to provide personalized security settings, automating the setup process and periodically updating settings based on user feedback, leveraging a Global Intelligence infrastructure for accurate threat landscape information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If customized security policies are manually created based on homeowner judgment, then security protection can be provided, but the complexity and difficulty of configuration increases significantly for typical homeowners
Solution Approach 1:
The system automatically generates customized security policies by monitoring user behavior patterns, device types, and network activities without requiring manual homeowner intervention. The security software performs self-configuration based on observed usage patterns, eliminating the need for homeowners to manually create policies while maintaining reliable security protection.
Solution Approach 2:
The system continuously monitors user interactions with security policies and network activities, using this feedback to automatically adjust and refine policy configurations. This closed-loop approach allows the system to learn from user behavior and improve policy accuracy over time without requiring manual reconfiguration by homeowners.
2Manufacturing precision
If security policies are manually configured with detailed customization, then accurate security settings can be achieved, but the time required for setup and maintenance increases significantly
Solution Approach 1:
The system performs preliminary analysis of user behavior patterns, device characteristics, and threat landscapes during initial setup, pre-configuring appropriate security policies before the homeowner needs to make decisions. This advance preparation enables accurate security settings to be established quickly without requiring time-consuming manual configuration iterations.
Solution Approach 2:
The security system automatically monitors network traffic, device patterns, and threat intelligence to dynamically adjust policy settings without requiring homeowner time for maintenance. The system performs self-updates and refinements based on observed patterns, eliminating the time investment that would otherwise be required for manual policy maintenance.
3Reliability
If comprehensive security monitoring is implemented across multiple devices, then security coverage is improved, but the complexity of network administration increases for home users
Solution Approach 1:
The security system implements a unified multi-functional platform that simultaneously monitors and protects multiple diverse devices (computers, smartphones, tablets, IoT devices) through a single interface. This universal approach provides comprehensive security coverage across the entire home network while maintaining simple administration, as the system automatically adapts to different device types and user profiles without requiring separate configurations for each device.
Data Source
AI summary
Systems, devices and methods are disclosed to assist in configuring devices and policies to protect a regional network (e.g., home network) and its users. Users on the network are monitored to determine appropriate configuration settings and preferences by utilizing a combination of internally configured information and externally gathered information for each user. For example, externally gathered information may include information obtained about a user from one or more social media Internet sites. Automatically obtained information may be used to provide or augment policy information such that a user's preference relative to internet content (e.g., content blocking software configuration) may be achieved without requiring an administrator to individually prepare each users security profile and configuration.