5G Security Orchestration for Risk-Based Network Isolation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
5G wireless networks face vulnerabilities due to a diverse range of interconnected devices, with a small fraction posing serious security risks, and conventional network hardening techniques are cost-prohibitive and resource-intensive, leading to inefficiencies and performance degradation.
Innovation Solution
A dynamic security layer and wireless device-centric solutions that intelligently deploy security resources on-demand, leveraging existing resources to safeguard specific areas of the network based on risk levels, using software-defined security services to mitigate threats dynamically.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional network hardening techniques are applied uniformly across the entire network, then security coverage is improved, but cost and resource consumption increase significantly
Solution Approach 1:
The patent implements risk-based security prioritization where security resources are allocated differently to different network parts based on their risk levels. High-risk network parts receive enhanced security measures while low-risk parts receive minimal security, creating non-uniform security coverage that matches actual risk distribution rather than applying uniform hardening across the entire network.
Solution Approach 2:
The patent segments the network into multiple risk categories (e.g., high-risk, medium-risk, low-risk network parts) and applies different security measures to each segment. This segmentation allows the system to concentrate security resources on the most vulnerable areas while reducing resource expenditure on safer areas, thereby resolving the contradiction between comprehensive security coverage and resource consumption.
2Reliability
If continuous uniform security measures are deployed across the entire network, then security protection is improved, but network performance deteriorates due to resource overhead
Solution Approach 1:
The patent applies different security measure intensities to different network parts based on their risk profiles. High-risk network parts receive continuous enhanced security protection, while low-risk parts operate with minimal security overhead, allowing network performance to be maintained in less vulnerable areas while preserving security protection where it is most needed.
Solution Approach 2:
The patent implements dynamic security measure adjustment where security policies can be modified based on changing risk conditions. The system can activate or deactivate enhanced security measures for specific network parts based on real-time risk assessment, allowing the network to adapt security overhead to actual threat levels and maintain optimal performance-security balance.
3Quantity of substance
If security resources are deployed on-demand based on risk levels, then resource efficiency is improved, but security response time may increase
Solution Approach 1:
The patent pre-configures security measures and policies before actual threats materialize. Security frameworks, detection rules, and response procedures are prepared in advance and can be rapidly deployed to network parts when risk thresholds are breached, reducing the effective response time while maintaining resource efficiency through on-demand activation rather than continuous operation.
Solution Approach 2:
The patent implements continuous risk monitoring and feedback loops that trigger security measure deployment when predefined risk thresholds are exceeded. This feedback mechanism enables automated, timely response to emerging risks while maintaining resource efficiency, as security resources are activated only when the feedback system detects conditions requiring intervention.
Data Source
AI summary
The disclosed embodiments include a software-defined security (SDS) service that can monitor runtime behavior of a network of nodes of a wireless network and detect anomalous activity indicating contamination of the network of nodes, where the contamination includes unauthorized instructions designed to damage or interrupt a function of the network of nodes. The SDS service can dynamically coordinate a blacklist and a whitelist, where the blacklist includes an indication of contaminated assets and the whitelist includes an indication of non-contaminated assets. The contaminated assets are isolated with a cleanroom environment, where the security resources sanitize the contaminated assets. Then, indications of the decontaminated assets are moved from the blacklist to the whitelist, and the use of the security resources are dynamically adjusted according to a load ratio between the whitelist and the blacklist.


