Distributed Transaction Validation for Cryptographic Security
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Solution Overview
Problem
Existing systems for performing cryptographically secured transactions face challenges when limited hardware resources are used, as they struggle to maintain security and authenticity.
Innovation Solution
A system comprising a network of locally distributed computing and communication units, each coupled to measuring sensors, forms a computer group that generates and verifies data sets for transactions. These data sets are incorporated into a chain of cryptographically interlinked data sets, with a validation unit ensuring the correct formation and incorporation of data sets.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If blockchain technology is used for cryptographically secured transactions, then transaction security is improved, but hardware resource requirements increase
Solution Approach 1:
The system segments the blockchain validation function by introducing a separate validation unit that is distinct from the computing and communication units. This validation unit specifically verifies cryptographic links and data set formation, while the computing units focus on generating transactions. This functional segmentation allows each component to be optimized independently, reducing the hardware burden on individual units while maintaining overall system security.
Solution Approach 2:
The validation unit acts as an intermediary between the computing and communication units and the blockchain chain. It receives data sets from multiple computing units, verifies their cryptographic integrity, and determines which data sets are incorporated into the chain. This intermediary role centralizes the complex validation logic, allowing the computing units to operate with simpler hardware resources while still achieving secure transactions.
2Productivity
If multiple computing and communication units compete to generate data sets, then transaction processing speed is improved, but system complexity increases
Solution Approach 1:
The system merges the functionality of multiple computing and communication units into a coordinated system where they all contribute to transaction processing. Rather than each unit operating independently with full capabilities, they are merged into a system where the validation unit centrally manages the incorporation of data sets from multiple sources. This merging approach maintains high processing speed through parallel generation while reducing individual unit complexity.
3Reliability
If data sets are cryptographically linked in a chain, then data authenticity is improved, but computational effort for verification increases
Solution Approach 1:
The validation unit extracts and specialized in verifying only the cryptographic linkage aspects of data sets. By separating this specific verification function from the general transaction processing, the system can efficiently verify authenticity without requiring all computing units to perform exhaustive verification. The validation unit handles the computational burden of cryptographic verification centrally.
Data Source
AI summary
A system for performing transactions between at least a first and at least a second transaction partner, comprising a plurality of computing and communication units, which are provided in a locally distributed manner at a plurality of locations, each computing and communication unit being coupled to at least one measuring sensor, the computing and communication units forming a computer group for performing a transaction, wherein the computing and communication units are designed to generate a data set which contains information with regard to a transaction and is designed to be incorporated into a chain of cryptographically interlinked data sets; at least one validation unit designed to verify the data sets that shall be incorporated into the chain of cryptographically interlinked data sets, wherein the validation unit is further designed to select a data set which has been generated and incorporate it into the chain of cryptographically interlinked data sets.