Heuristic Optimization Algorithm Based Watermarking on Content Authentication and Tampering Detection for English Text

Text information is a natural language dependent, which enhances reliability and security of text data exchanged through Internet networks becoming main concern for researchers. Content authentication, Tampering detection, integrity verification digital content are considered challenges in the communication exchange area Internet. Watermarking algorithms emerge as potential method achieving this with text. In simple words, watermarking embedding imperceptible messages within that serve unique signatures or identifiers. The message has regarding creator, copyright data, other metadata utilized authentication purposes. Therefore, study presents new Coyote Optimization Algorithm Watermarking-based Authentication Detection (COAW-CATD) technique English presented COAW-CATD aims to secure via tampering recognition. To accomplish this, designs zero-watermarking (ZWM) approach produce watermarks depending on textual content. generated watermark can be extracted assure document. Moreover, COA optimize placement ensure it robust tampering. experimental outcomes algorithm tested utilizing series simulations comparative reported its superior performance improved detection accuracy 95.93%.