Novel multi-cover steganography using remote sensing image and general recursion neural cryptosystem
Document Type
Article
Publication Date
1-1-2010
Abstract
Steganography is defined as the art of concealing a sensitive data through other carrier to insure the confidentiality of the data. Four novel concepts has been presented on this paper, beginning with steganography, the prevailing methods, well-known is the use of a single cover to hide the data, in this paper, we invent a new concepts on Steganography which is ``multi-cover steganography'' using remote sensing image; Remote sensing Image is an image taken from the satellite in a manner of three shots, engagimg these images generate one false color image, this type of image has been proposed in this research. The second concepts is general recursion neural cryptosystem, this approach has been designed and implemented to defeat the problem of exchange cryptography keys through the network, the new cryptosystem exchange the keys through trine the neural network data which later on used to decrypt the data, this powerful cryptosystem merged with the multi-cover steganography to produce the third novel concept. The fourth concept is designing irregular encoding method base on LSB algorithm. The new way of encoding has approved the security of data hidden. The experiment has approved that, our system has been extremely secure, confidential, and there is no way to extract the data from the cover
Keywords
Remote sensing image, steganography, general regression neural cryptosystem (GRNN), cryptography, data hidden
Publication Title
International Journal of the Physical Sciences
Volume
5
Issue
11
Publisher
Academic Journals
Publisher Location
P O BOX 5170-00200 NAIROBI, VICTORIA ISLAND, LAGOS 73023, NIGERIA