Network User Isolation via High-Alert Group Segmentation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing network security management systems often incorrectly identify non-malicious users as malicious, leading to unnecessary service disruptions and potential loss of customers, while failing to adequately prevent damage from actual malicious actors without thorough analysis.
Innovation Solution
Implementing a 'High-Alert' user group where suspected malicious users are isolated with restricted network access, with their traffic routed through a monitoring server for detailed analysis, allowing for continued service without complete interruption until a malicious act is confirmed or denied.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the security controller completely disables network access for suspected malicious users, then network damage is prevented, but innocent users may be incorrectly blocked and service agreements are breached
Solution Approach 1:
The patent segments network users into different risk groups (e.g., high-risk, medium-risk, low-risk) based on their behavior patterns. Instead of treating all suspected malicious users uniformly with complete access denial, the system applies differentiated access controls appropriate to each risk segment, allowing innocent users to maintain service while restricting only those who pose actual threats.
Solution Approach 2:
The patent introduces an intermediary monitoring system that sits between the security controller and network access. This intermediary continuously analyzes user behavior and dynamically adjusts access permissions, serving as a mediator that prevents complete access denial for innocent users while still blocking malicious activities. The intermediary allows gradual escalation of restrictions based on confirmed malicious behavior rather than immediate total blockade.
2Measurement precision
If the security controller waits for detailed analysis of user behavior, then accurate identification of malicious users is achieved, but network damage may occur during the analysis time
Solution Approach 1:
The patent implements preliminary action by establishing baseline user behavior profiles and pre-configuring risk thresholds before incidents occur. When suspicious activity is detected, the system immediately applies pre-planned graduated restriction protocols based on the severity of the anomaly, rather than waiting for complete analysis. This allows rapid initial response while detailed analysis proceeds in parallel, preventing network damage without sacrificing accuracy.
Solution Approach 2:
The patent makes the security response dynamic by continuously adjusting access restrictions based on real-time analysis of user behavior. Rather than static pre-or-post analysis approaches, the system dynamically escalates or de-escalates restrictions as more information becomes available. This allows the system to respond quickly to potential threats while automatically refining its decisions as detailed analysis completes, reducing both response time and false positives.
3Stability of the object's composition
If the security controller applies strict security measures to all suspected users, then network integrity is protected, but user frustration increases and customers may be lost
Solution Approach 1:
The patent applies local quality by implementing differentiated security measures tailored to each user's specific risk profile and behavior pattern. Instead of uniform strict security for all suspected users, the system applies localized restrictions only to the specific actions or time periods that pose threats, while allowing normal operations to continue uninterrupted. This maintains network integrity through targeted controls while preserving user experience for innocent users who face minimal or no restrictions.
Data Source
AI summary
An isolation approach for network users associated with elevated risk is disclosed for protecting networks. In one approach a method comprises the computer-implemented steps of determining a user identifier associated with a network device that has caused a security event in a network; causing the network device to receive a network address that is selected from a subset of addresses within a specified pool associated with suspected malicious network users; and configuring one or more security restrictions with respect to the selected network address.