Distributed Data Fragment Storage for Confidential Telecom Networks
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing data management systems in telecommunications networks do not adequately ensure secure, reliable distribution and storage of data associated with a subject, particularly biometric profiles, while maintaining confidentiality and response rate, and lack flexibility for adding new services.
Innovation Solution
A decentralized system architecture using a plurality of routers, network servers, and distributed memories, employing information dispersal algorithms and secret sharing techniques to subdivide, distribute, and store data securely, with adaptive routing and redundancy for fault resilience, allowing flexible addition of services.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If data is stored in a centralized system, then data access and management is simplified, but security and confidentiality of the data are compromised
Solution Approach 1:
The patent divides sensitive data into multiple separate portions or fragments, storing each in different locations within the distributed network. This segmentation ensures that no single point contains the complete data, enhancing security while the coordinated management of fragments maintains system functionality.
2Reliability
If data is subdivided and distributed across multiple nodes, then security and confidentiality are improved, but data access complexity and retrieval time increase
Solution Approach 1:
The system performs preliminary actions by pre-processing and organizing data into manageable portions with associated metadata before distribution. This includes creating indexes, establishing routing information, and setting up retrieval protocols in advance, so that when data needs to be accessed, the distributed portions can be quickly located and reassembled without excessive delay.
3Adaptability or versatility
If a decentralized architecture is used, then system flexibility and service addition are improved, but system complexity and coordination overhead increase
Solution Approach 1:
The patent implements universal interfaces and standardized protocols that allow different services and applications to interact with the distributed data system in a consistent manner. This multi-functionality enables various services to be added without increasing complexity, as they all use the same data access mechanisms and communication standards.
Data Source
AI summary
A method and a system for subdividing, distributing and storing data associated with a subject in a plurality of distributed memories of a telecommunications network. The system includes a telecommunications network that includes a plurality of network nodes with decentralized architecture. At least one server component connected to the telecommunications network includes a plurality of fragment storage nodes connected to the telecommunications network. Each fragment storage node includes at least one respective non-volatile memory configured to store at least part of a plurality of portions of the data.