Critical Review of Perceptual Models for Data Authentication

The large-scale communication of multimedia data on Internet motivates the protection of digital information against illegal duplication and manipulation. Advances that facilitate electronic publishing and commerce also heighten threats of intellectual property theft and unlawful tampering. This work is concerned with the perceptual models used for data protection, secrete communication, author´s identification for copyright protection. To achieve this, various technologies such as cryptography, stegonagraphy and digital watermarking are required. This paper, focus on, specifically, these perceptual models with their working principal, structure, properties, various applications, possible attacks, recent trends and their advantages & disadvantages.