Neural Network based Steganography for Information Hiding
K.P. Ravi Kumar1, H.S. Manjunatha Reddy2

1K.P. Ravi Kumar, Department of ECE, JSS Academy of Technical Education, Bengaluru (Karnataka), India.
2H.S. Manjunatha Reddy, Department of ECE, Global Academy of Technology, Bengaluru (Karnataka), India.
Manuscript received on 04 June 2019 | Revised Manuscript received on 29 June 2019 | Manuscript Published on 04 July 2019 | PP: 416-420 | Volume-8 Issue-1S4 June 2019 | Retrieval Number: A10750681S419/2019©BEIESP
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Abstract: Steganography is the method of concealing secret message inside a digital image, video or audio file and is to avoid drawing attention to the transport of hidden information through the communication channel. The Neural Network based Steganography for information Hiding (NNSIH) isproposed. The Neural network approach is used to select and train the best images. The selected image is converted in to bit planes and IWT is applying on each plane to generate sub bands. The threshold is calculated to determine size of the redundancy cover image coefficients and used to embed the secret image. The result shows that the PSNR is higher in this algorithm as compare to available algorithms due to the use ofneural network and IWT.
Keywords: Steganography, IWT, Neural Networks, Threshod, PSNR.
Scope of the Article: Information Retrieval