Human Visual System Model for Data Spatial temporal adaption of Data Hiding methods

In network applications communication is the main aspect in present days. Data transformation is the process of sending data from one person to another person. In this contrast present security is the main issue in network communication. Steganography is the one of the data hiding technique that can be used in secret data sharing applications. Traditionally Forbidden Zone Data Hiding was developed in data security mechanism. By using framework present in the forbidden zone data hiding we developed different data hiding processes for video Steganography. Secured erasure cryptography techniques were developed in data sharing between every movement for text extraction. But in this technique customer interaction is less for network communication and data hiding process with security. So, in this paper we propose to extend Forbidden Zone Data Hiding technique with Human Visual System. Human Visual System is used by video processing expert to deal with biological and psychological processes that are not fully understood. Our experimental results show efficient data security based on Human Visual System based on spatial temporally adaption of data hiding methods.