Visualizing and Securing Linguistic Patterns: POS Tag Graphs with Encryption Techniques

Digital Content protection is important Ensuring document integrity in the digital age is a critical challenge. Traditional visible and invisible watermarking methods offer partial protection but have limitations. Visible watermarking can be removed and degrade quality, while invisible watermarking requires specialized tools and may degrade through compression. TThis study presents an innovative document authentication framework that leverages part-of-speech (POS) tag-based graph representations. By transforming textual data into structured graphs, the method captures the unique syntactic signature of each document. This linguistic fingerprint is then encrypted and stored independently, enabling robust verification of document authenticity. The approach not only reinforces security and integrity but also seamlessly integrates with existing natural language processing (NLP) pipelines.