Secure Data Corridor with Dynamic Sensitivity Ratings

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Solution Overview

Problem

Decentralized computing environments face challenges in balancing security constraints with latency, scalability, and recovery performance due to the increasing velocity and diversity of data, leading to inefficiencies in traditional security measures.

Innovation Solution

The implementation of a 'secure data corridor' with dynamic data sensitivity ratings and control parameters, such as no read-up and no write-down principles, ensures confidentiality and integrity protection for data feeds by customizing security measures based on the nature and classification of data, using authentication and authorization mechanisms to manage access and prevent unauthorized data flow.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If traditional security measures are implemented in decentralized computing environments, then data security and confidentiality are improved, but latency and system performance deteriorate

Engineering Contradiction:
Improvedata securityVSAvoidlatency
Core Design Contradiction:
ReliabilityVSLoss of time

Solution Approach 1:

The patent implements dynamic data sensitivity ratings that assign different security levels to different data feeds based on their specific characteristics. This allows security measures to be tailored locally to each data stream rather than applying uniform security protocols system-wide, reducing unnecessary latency while maintaining appropriate security for sensitive data.

Inventive Principle:
Principle #3Local quality

Solution Approach 2:

The system dynamically adjusts security measures based on real-time data sensitivity assessments. The security level is not static but adapts to the specific data being processed, allowing the system to optimize performance by reducing security overhead for less sensitive data while maintaining strong protection for critical information.

Inventive Principle:
Principle #15Dynamics

2Reliability

If comprehensive security measures are applied to all data feeds, then data integrity and confidentiality are improved, but scalability and system complexity worsen

Engineering Contradiction:
Improvedata integrityVSAvoidscalability
Core Design Contradiction:
ReliabilityVSAdaptability or versatility

Solution Approach 1:

The patent applies security measures selectively based on the specific sensitivity requirements of each data feed. By assessing data sensitivity locally and applying appropriate security controls only where needed, the system maintains data integrity for sensitive information while avoiding the scalability constraints that would result from universal security protocols.

Inventive Principle:
Principle #3Local quality

Solution Approach 2:

The system changes security parameters dynamically based on data characteristics. By adjusting security levels as a variable parameter rather than maintaining fixed comprehensive security, the system can scale effectively while still providing appropriate protection where required.

Inventive Principle:
Principle #35Parameter changes

3Stability of the object's composition

If uniform security protocols are enforced across all data, then security consistency is improved, but performance efficiency and resource utilization worsen

Engineering Contradiction:
Improvesecurity consistencyVSAvoidperformance efficiency
Core Design Contradiction:
Stability of the object's compositionVSProductivity

Solution Approach 1:

The patent maintains security consistency through a standardized framework for assessing data sensitivity and applying security measures. However, it achieves performance efficiency by allowing the specific security level to vary locally based on data characteristics, rather than enforcing identical security protocols uniformly across all data feeds.

Inventive Principle:
Principle #3Local quality

Solution Approach 2:

The system dynamically determines appropriate security levels based on real-time assessment of data sensitivity. This dynamic approach maintains consistency in the security decision-making process while adapting the actual security measures applied to match the specific data being processed, thereby optimizing performance efficiency.

Inventive Principle:
Principle #15Dynamics

Data Source

PatentUS10747895B2Distribute big data security architecture
Publication Date: 2020.08.18 T MOBILE US INC
  • US10747895B2 patent drawing
  • US10747895B2 patent drawing
  • US10747895B2 patent drawing

AI summary

This disclosure describes techniques for defining security measures of a secure data corridor that enables data feeds to transmit from an ingress point to an egress point, while maintaining a desired security protection. This disclosure further describes techniques to quantify the desired security protection by determining and further associating a data sensitivity rating with individual data feeds in transmit through the secure data corridor. In some examples, the data sensitivity rating of the secure data corridor may be locked at a default rating that is commensurate with access permissions of a subject or a data sensitivity rating of an adjoining secure data container. Alternatively, the data sensitivity rating may be dynamically set based on data feeds transmitting through the secure data corridor or set based on the data sensitivity rating of data feeds at an ingress point or egress point of the secure data corridor.