Secure Edge Route Maps with Minimal SCC Agent Routing
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Solution Overview
Problem
Existing edge computing architectures lack the ability to securely manage and route confidential data generated at network edges, necessitating a solution to ensure data confidentiality and secure transfer to cloud or target destinations.
Innovation Solution
Implementing a Security and Compliance Center (SCC) agent at edges to detect data confidentiality levels, map security levels to travel routes, and dynamically adjust routes based on detected confidentiality, ensuring secure data transfer.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If data is transferred through standard network routes in edge computing, then transfer speed and efficiency are improved, but data confidentiality and security are compromised
Solution Approach 1:
The system dynamically adjusts data transfer routes based on real-time detection of confidentiality levels. The SCC agent continuously monitors data sensitivity and modifies the travel plan accordingly, transitioning from static routing to dynamic adaptive routing that responds to changing security conditions.
Solution Approach 2:
The Security and Compliance Center (SCC) agent acts as an intermediary between the data source and the cloud destination. It detects confidentiality levels and determines appropriate safety levels for route selection, mediating the transfer process to ensure both speed and security requirements are met.
2Device complexity
If a fixed route is used for data transfer, then system complexity is reduced, but adaptability to security threats is worsened
Solution Approach 1:
The system pre-establishes multiple potential travel plans with different safety levels before data transfer begins. The SCC agent detects confidentiality levels in advance and selects the appropriate pre-planned route, avoiding the need for complex real-time route calculation while maintaining adaptability.
Solution Approach 2:
The system changes routing parameters (safety level, route path) based on the detected confidentiality level of the data. Different confidentiality levels map to different safety levels and corresponding travel plans, allowing the system to adapt to various security requirements without requiring a completely new routing architecture.
Data Source
AI summary
A method, computer system, and a computer program product for data confidentiality is provided. The present invention may include detecting a confidentiality level of data within a source edge. The present invention may include identifying a required safety level of a route of travel based on the detected confidentiality level. The present invention may include selecting the route of travel based on the required safety level and the detected confidentiality level.


