On-Premises System Detection via Local Network Polling
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Solution Overview
Problem
Existing cloud-based management tools face challenges in accurately and efficiently determining whether a system is on-premises or off-premises, which is crucial for enabling access to sensitive operations.
Innovation Solution
The proposed solution involves an information handling system that determines the names of other on-premises systems within a local network, polls a selected subset of these systems, and based on the results, determines its own on-premises status. If determined to be on-premises, the system enables access to sensitive administration operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If cloud-based management tools allow access to sensitive operations through public networks, then ease of operation is improved, but security is worsened
Solution Approach 1:
The system introduces an intermediary detection mechanism that checks whether the client system is on-premises before allowing access to sensitive operations. This intermediary security check mediates between the desire for easy public access and the need for security, by allowing public network access only after verifying the client's location status.
Solution Approach 2:
The system changes the security parameter dynamically based on the detected location status of the client system. When on-premises status is detected, access to sensitive operations is permitted; when off-premises status is detected, access is restricted. This parameter change resolves the contradiction by adapting security requirements to the operational context.
2Measurement precision
If the system polls all on-premises systems to detect on-premises status, then measurement precision is improved, but productivity is worsened
Solution Approach 1:
The system applies partial action by polling only a selected subset of on-premises systems rather than all systems. This subset is sufficient to determine on-premises status with acceptable accuracy, thereby maintaining detection precision while significantly improving detection efficiency by reducing the polling workload.
Solution Approach 2:
The detection process is segmented into two phases: initial detection using a selected subset of systems for quick status determination, and comprehensive verification using all systems only when needed. This segmentation allows the system to balance detection accuracy with operational efficiency.
Data Source
AI summary
An information handling system may include at least one processor and a memory. The information handling system may be configured to determine names for a plurality of other information handling systems that are on-premises at a particular datacenter having a local network associated therewith; poll a selected subset of the plurality of other information handling systems via the local network; based on results of the polling, determine whether the information handling system is on-premises at the particular datacenter; and in response to a determination that the information handling system is on-premises at the particular datacenter, enable access to at least one sensitive administration operation associated with the particular datacenter.