MUMBAI, India, Aug. 10 -- Intellectual Property India has published a patent application (202641088644 A) filed by Mr. N. Bhargav Krishna on July 21, 2026, for Ai-Based Source Code Ownership And Plagiarism Authentication System.

Inventor includes Mr. N. Bhargav Krishna.

The application for the patent was published on July 31, 2026, under issue no. 31/2026.

Abstract: AI-Based Source Code Ownership and Plagiarism Authentication System ABSTRACT The rapid growth of collaborative software development and online code- sharing platforms has increased the risk of source code plagiarism, unauthorized reuse, and ownership disputes. This paper proposes an AI-Based Source Code Ownership and Plagiarism Authentication System that combines CodeBERT, Abstract Syntax Tree (AST) analysis, and Siamese Neural Networks (SNN) to identify semantic similarity between source codes while preserving authorship characteristics. Initially, source code is parsed into AST representations to extract structural features such as control flow, function hierarchy, and identifier usage patterns. Simultaneously, CodeBERT, a transformer-based pre-trained programming language model, generates deep semantic embeddings for each code segment. The extracted structural and semantic features are then fused and processed through a Siamese Neural Network trained with contrastive loss to determine whether two code samples originate from the same author or represent plagiarized versions. To ensure secure ownership verification, the system stores cryptographic fingerprints of authenticated code using SHA-256 hashing and records ownership metadata through a blockchain-based ledger for tamper-resistant auditing. The proposed framework achieves high plagiarism detection accuracy while effectively distinguishing genuine code reuse from malicious copying. The integration of transformer-based code understanding, AST-driven structural analysis, and blockchain-backed ownership authentication provides a scalable and reliable solution for academic institutions, software companies, and open-source communities seeking trustworthy source code authorship verification and plagiarism prevention.

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