Smart-Fragile Authentication Scheme for Robust Detecting of Tampering Attacks on English Text

Content authentication, integrity verification, and tampering detection of digital content exchanged via the internet have been used to address a major concern in information communication technology. In this paper, text zero-watermarking approach known as Smart-Fragile Approach based on Soft Computing Digital Watermarking (SFASCDW) is proposed for authentication English text. A first-level order alphanumeric mechanism, hidden Markov model, integrated with techniques improve watermark robustness approach. The researcher uses mechanism model soft computing technique analyze Moreover, he extracts features interrelationship among contexts text, utilizes extracted information, validates it later studied detect any tampering. SFASCDW has implemented using PHP VS code IDE. robustness, effectiveness, applicability are proved experiments involving four datasets various lengths random locations three common attacks, namely insertion, reorder, deletion. was found be effective could applicable detecting possible