Distributed Data Processing System with Self-Destructing Nodes
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Solution Overview
Problem
Current data processing systems are vulnerable to sabotage, unauthorized access, and integrity breaches due to reliance on central nodes and oligopolistic provider structures, with maintenance and testing being costly and error-prone, and lacking robustness against component failures.
Innovation Solution
A distributed data processing system where tasks are allocated across multiple nodes, with encryption using system-specific keys and peer-to-peer management, and nodes are designed to self-destruct upon attack detection, eliminating the need for local redundancies and enabling standardized manufacturing and maintenance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If data processing tasks are concentrated on central nodes, then system coordination is simplified, but security against sabotage and unauthorized access deteriorates
Solution Approach 1:
The patent divides the centralized data processing system into multiple distributed nodes, each capable of independent operation. This segmentation eliminates the single point of failure in centralized systems while maintaining coordination through peer-to-peer communication protocols, thus improving security against sabotage without excessively increasing system complexity.
Solution Approach 2:
The patent transitions from a vertical hierarchical architecture (centralized) to a horizontal distributed architecture. This dimensional change allows the system to maintain coordination simplicity through standardized communication interfaces while gaining resilience through geographic and logical distribution of processing tasks across multiple nodes.
2Reliability
If local redundancies are implemented at each node, then robustness against component failures is improved, but device complexity and manufacturing costs increase
Solution Approach 1:
The patent merges the redundancy function from the individual node level to the network level. Instead of each node containing redundant components, the system achieves robustness through distributed replication across nodes, where any node can take over processing tasks if another node fails, thereby reducing individual node complexity while maintaining overall system reliability.
Solution Approach 2:
The patent implements data and processing task replication across multiple nodes in the network. Each node maintains copies of critical data and processing capabilities, enabling the system to tolerate node failures without requiring complex redundant hardware at each individual node, thus reducing manufacturing costs and device complexity.
3Ease of manufacture
If standardized node design is implemented, then manufacturing and maintenance are simplified, but adaptability to different security requirements deteriorates
Solution Approach 1:
The patent employs standardized node hardware designs for manufacturing efficiency, while allowing each node to be configured with specific security policies, encryption keys, and access controls tailored to local requirements. This local quality differentiation enables standardized production without compromising the ability to meet diverse security demands through software and configuration customization.
Data Source
AI summary
The invention relates to a device and a method for distributing data processing tasks to the nodes of a network implementing a data processing system and to a device and a method for sealing nodes of a network implementing a data processing system for the efficient provision of a secure data processing system.