Cloud Network Node Access Segmentation for Zero-Trust Control
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Solution Overview
Problem
Cloud-based telecommunication networks face security issues due to lack of segmentation based on geolocation, time window, and sensitivity of target nodes, unrestricted out-of-band access, policy drift, man-in-the-middle attacks, DNS hijacking, external hacking threats, compromise of sensitive information, and improper data storage, leading to risks such as IP address leakage and loss of customer trust.
Innovation Solution
A zero trust-remote access system (ZTRAS) with centralized authorization and contextual access policy management, using unique policy identifiers (ZTRASpid) to segment access based on user and target node parameters, leveraging machine learning for trust validation and policy generation, and managing access through a ZTRAS subscription engine, AI policy engine, and logging system.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If centralized authorization and contextual access policy management is implemented, then network security is improved, but device complexity increases
Solution Approach 1:
The system segments access control by creating distinct policy engines for different authorization contexts (internal/external users, trusted/untrusted nodes). The ZTRAS architecture divides the authorization system into modular components including policy generation engine, policy enforcement points, and context analysis modules, allowing complex security management to be handled through coordinated simpler subsystems.
Solution Approach 2:
The patent introduces intermediary components including the ZTRAS subscription engine and AI policy engine that mediate between users and network resources. These intermediaries handle the complexity of policy management, trust validation, and access control decisions, shielding the underlying system complexity from end users while maintaining strong security controls.
2Reliability
If dynamic access control based on multiple parameters is implemented, then access security is improved, but processing time increases
Solution Approach 1:
The system performs preliminary actions by pre-generating access policies and pre-validating trust contexts before actual access requests occur. The ZTRAS subscription engine pre-establishes policy frameworks and the AI policy engine pre-computes trust assessments based on historical data and predefined criteria, enabling faster real-time access decisions without re-evaluating all parameters from scratch.
Solution Approach 2:
The patent implements parameter changes by dynamically adjusting access control parameters based on contextual factors such as user trust levels, node sensitivity, geolocation, and time windows. The system transforms static access control into dynamic parameter-based control where policy parameters are adjusted in real-time based on analyzed context, improving security without requiring complete re-evaluation of all access criteria.
3Measurement precision
If segmentation based on geolocation and time window is implemented, then access control precision is improved, but device complexity increases
Solution Approach 1:
The patent applies local quality by implementing location-aware and time-aware access control policies that adapt security parameters based on specific geographic contexts and temporal conditions. Different policy rules are applied locally based on the user's geolocation and the current time window, allowing precise control over access rights without requiring a complete overhaul of the policy management system. The AI policy engine analyzes local contextual factors and applies appropriate policy segments.
Data Source
AI summary
Provided are a method, system, and computer-readable recording medium for controlling zero trust remote access to a target node in a network system. The method includes: receiving a request of a user to access the target node in the network system; generating, based on parameters of the user and the target node, an access policy segmentation for the user to access the target node; providing, based on the generated access policy segmentation, the user with access to the target node; and terminating, based on the generated access policy segmentation, access of the user to the target node.