Paper Presentation & Seminar Topics: NEW DIMENSION OF DATA SECURITY BY NEURAL NETWORKS

NEW DIMENSION OF DATA SECURITY BY NEURAL NETWORKS

Data hiding embeds data into digital media for the use of identification, annotation and copyrighting. Latest possibilities of digital imaging and data hiding open wide future in modern imaging science, content management and secure communication. Our aim is to hide huge volumes of data in the host in a manner that may cause minimal perceptual distortion and is robust to survive benign , harmful malicious attacks and make sure to hide that much information which is possible into the host. In this article we justify the prospects of the hidden information being detected and introduction of a new approach for hiding any text without any embedding by the process of multiple key functions and Newton Forward Difference Technique so that it passes unnoticed by the any stochastic detection techniques. By this method the size of the data that can be hidden will be more than all the size of existing techniques support. This method derives a polynomial function that generates the bit position in the host where the data bits matches with the host bits. This approach uses the original bits of the host to hide the data. The conventional embedding is not done here so the host does not undergo any type of perceptual degradation thus escapes all the existing stochastic detecting techniques.
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