Neutral Computing Instance for Secure Remote Network Data Sharing
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Solution Overview
Problem
In multi-instance remote network management platforms, sharing information between computational instances is inefficient due to the need for manual or out-of-band data transfer, leading to outdated data across multiple instances, especially when dealing with numerous entities, and poses security risks due to direct data intermingling.
Innovation Solution
A neutral computing instance acts as an intermediary, allowing secure, indirect data sharing through standardized interfaces like REST or SOAP, where providers publish updates and consumers subscribe, ensuring authentication and authorization, thus avoiding direct data exchange between instances.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If direct data sharing between computational instances is implemented, then data sharing efficiency is improved, but data security and privacy are compromised due to direct data intermingling
Solution Approach 1:
The patent introduces a neutral computational instance as an intermediary between provider and recipient instances. This neutral instance receives data from providers, validates authentication and authorization, and distributes data to recipients. This mediator approach enables efficient data sharing while maintaining security by preventing direct data intermingling between entities.
2Object-affected harmful factors
If manual or out-of-band data transfer is used between instances, then data security is maintained, but data sharing efficiency deteriorates and data becomes outdated
Solution Approach 1:
The patent implements continuous data sharing through automated mechanisms where provider instances publish updates and consumer instances subscribe to receive them. The neutral instance continuously validates and distributes data, eliminating manual transfer processes and ensuring data remains current across all instances without compromising security.
Solution Approach 2:
The system enables self-service data sharing where instances automatically authenticate, authorize, and transfer data without manual intervention. Provider instances autonomously publish updates and consumer instances autonomously subscribe and receive data, improving efficiency while maintaining security through automated validation.
3Object-affected harmful factors
If information is provided to multiple computational instances individually, then data security is maintained, but the complexity of data management increases and redundant data collection occurs
Solution Approach 1:
The neutral computationalinstance serves multiple functions simultaneously: it acts as a data collector from providers, a validation server for authentication and authorization, a distribution hub to recipients, and a security gateway. This multi-functional design simplifies data management complexity while maintaining security across multiple instances.
Data Source
AI summary
A remote network management platform may include a provider computing instance, a recipient computing instance, and a neutral computing instance including persistent storage that defines a table and fields therein, and where the neutral computing instance is configured to: (i) receive, by way of a first software interface, data from the provider computing instance, where the data is an update to a field within the table; (ii) validate that the provider computing instance is permitted to update the field; (iii) write a representation of the data to the field; (iv) receive, by way of a second software interface, a request from the recipient computing instance for the data; (v) validate that the recipient computing instance is permitted to access the field; and (vi) transmit the data as stored in the field to the recipient computing instance.