Data Handling Node Hash Tag Verification
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Solution Overview
Problem
In data distribution networks, it is challenging to ensure the authenticity and validity of data as it traverses multiple hops, as existing solutions are inefficient and impractical, especially when dealing with diverse nodes and data consumers across different countries, and intermediate nodes often need to modify data, breaking end-to-end trust.
Innovation Solution
A method and system where data handling nodes receive and verify hash tags generated based on previous hash tags from preceding nodes, using a hash server to register and verify these tags, ensuring that data is tied to its source and maintaining integrity throughout the distribution path.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If existing verification solutions are used in data distribution networks, then data authenticity can be verified, but the system becomes inefficient and impractical especially across multiple hops and diverse nodes
Solution Approach 1:
The verification process is segmented into discrete hash tags that can be independently generated, transmitted, and verified at each hop. Each data processing node generates a hash tag based on received data and previous hash tags, allowing modular verification without requiring centralized validation at every step, thus improving efficiency while maintaining reliability
Solution Approach 2:
Hash tags are generated and attached to data in advance during the data distribution process, before the data reaches the final consumer. This preliminary verification preparation eliminates the need for complex post-delivery authentication, allowing rapid verification at the receiving end while ensuring data integrity throughout the distribution path
2Reliability
If end-to-end trust is maintained across multiple hops, then data validity is ensured, but intermediate nodes cannot modify data which limits practical deployment
Solution Approach 1:
The system dynamically balances trust requirements with node flexibility by using cryptographic hash tags that allow intermediate nodes to process and forward data while maintaining verifiable integrity. The hash tag mechanism enables adaptive verification where data can be trusted through multiple hops without requiring rigid end-to-end trusted relationships, allowing intermediate nodes to perform necessary modifications while preserving data validity through cryptographic proof
3Reliability
If verification mechanisms are implemented across diverse nodes and countries, then data trustworthiness is improved, but bandwidth increases excessively
Solution Approach 1:
The verification information is extracted into compact hash tags that are separate from the main data payload. These hash tags contain only the essential cryptographic information needed for verification, allowing data trustworthiness to be verified without transmitting redundant verification data, thus minimizing bandwidth consumption while maintaining high reliability across diverse international nodes
Data Source
AI summary
A first data handling node (304) is configured to verify data received in a data distribution network with multiple data handling nodes forming a distribution path of a network topology, by obtaining tag information from a hash server (306). The first data handling node (304) receives data (D3) and a hash tag (H3) from a second data handling node (302). The received data (D3) and hash tag (H3) have been generated by the second node based on a previous hash tag (H1, H2) generated by a preceding third data handling node (300a, 300b). The third node has delivered data (D1, D2) to the second node, and the received data (D3) has been generated by the second node based on the data (D1, D2) delivered by the third data handling node. The first data handling node (304) verifies the received data (D3) based on the tag information from the hash server, which indicates whether the received hash tag (H3) corresponds to a "valid hash tag" (Hx) which is calculated by applying a predefined hash algorithm on the previous hash tag (H1, H2). When the received tag corresponds to the valid tag, the data is verified as trustworthy and not faked or manipulated.