Blockchain Text Similarity Detection via Smart Contract Vectors
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Solution Overview
Problem
Current text similarity detection methods struggle to accurately identify similarities between original and plagiarized content, especially when slight changes are made, and often face delays in evidence storage, making it difficult to prevent infringement.
Innovation Solution
A blockchain-based text similarity detection method using a smart contract deployed on a blockchain network, which generates text vectors and calculates distances to determine similarity, and when a threshold is met, it sends evidence storage transactions to the blockchain for secure and tamper-proof storage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional text similarity detection methods are used, then the detection process is simple and fast, but the accuracy is low especially when slight changes are made to plagiarized content
Solution Approach 1:
The patent transforms text from original form into vector representations, changing the parameter space from discrete text tokens to continuous vector embeddings. This allows for more nuanced similarity measurement by calculating distances in the vector space, which can capture semantic similarities even when text has been slightly modified. The vectorization process enables detection of plagiarism with slight changes by mapping semantically equivalent texts to nearby points in the vector space.
2Reliability
If evidence storage is delayed in traditional systems, then storage flexibility is maintained, but the reliability and timeliness of infringement prevention is reduced
Solution Approach 1:
The patent implements preliminary action by storing text evidence on the blockchain immediately upon detection, rather than delaying storage. The smart contract automatically executes the storage transaction as soon as plagiarism is detected, creating an immutable timestamped record. This preliminary storage action ensures evidence integrity and prevents subsequent tampering, while the automated nature eliminates manual delays in the storage process.
3Reliability
If decentralized blockchain technology is used for evidence storage, then tamper-proof reliability is achieved, but system complexity and computational requirements increase
Solution Approach 1:
The patent introduces a smart contract as an intermediary between the text similarity detection system and the blockchain network. The smart contract handles the complexity of blockchain interactions, including transaction creation, gas management, and evidence storage. This intermediary layer abstracts the blockchain complexity from the main detection system, allowing the detection algorithm to focus on accuracy while the smart contract manages the decentralized storage reliability, effectively separating concerns and reducing overall system complexity.
Data Source
AI summary
A computer-implemented method, non-transitory, computer-readable medium, and computer-implemented system are provided for detecting text similarity. A smart contract for detecting a similarity to a target original text is deployed in a blockchain network. The method is performed by a network node in the blockchain network. A first transaction, including first text, is received, where the first text is text whose similarity to the target original text is to be detected. The smart contract is invoked and text similarity detection logic stated in the smart contract is executed to obtain a detection result of similarity between the first text and the target original text.