Arnold Transform Based Steganography

Steganography exploits the use of host data to hide a piece of information in such a way that it is imperceptible to human observer. Its main objectives are robustness, high payload, and imperceptibility. Digital images, videos, sound files, and other computer files can be used as carrier to embed the information. This paper deals with digital gray scale digital images, and presents a secure steganography scheme for hiding a larger size secret-image into smaller size coverimage. Arnold Transformation is performed to obtain scrambled secret image. Discrete Wavelet Transform (DWT) is performed on both host / cover image and secret image / information, and this is followed by alpha blending operation. The approach shows satisfactory results. Results show that proposed algorithm is highly secured with good perceptual invisibility. Keywords— Alpha Blending, Arnold Transformation, DWT,

[1]  Zhenjun Tang,et al.  Secure Image Encryption without Size Limitation Using Arnold Transform and Random Strategies , 2011, J. Multim..

[2]  Po-Yueh Chen,et al.  A DWT Based Approach for Image Steganography , 2006 .

[3]  M.F.A. Rasid,et al.  Mobility models towards the performance of geographical-based route maintenance strategy in DSR , 2008, 2008 International Symposium on Information Technology.

[4]  Y. Sukanya,et al.  International Journal of Soft Computing and Engineering (IJSCE)ISSN: 2231-2307, Volume-X, Issue-X , 2012 .

[5]  Pratibha Sharma,et al.  Digital Image Watermarking Using 3 level Discrete Wavelet Transform , 2013 .

[6]  Stephan Bohacek,et al.  Realistic mobility simulation of urban mesh networks , 2009, Ad Hoc Networks.

[7]  Liang Chang,et al.  Analyzing the Impact of Entity Mobility Models on the Performance of Routing Protocols in the MANET , 2009, 2009 Third International Conference on Genetic and Evolutionary Computing.

[8]  Subir Kumar Sarkar,et al.  Simulation Based Performance Comparison of Community Model, GFMM, RPGM, Manhattan Model and RWP-SS Mobility Models in MANET , 2009, 2009 First International Conference on Networks & Communications.

[9]  Lingling Wu,et al.  Arnold Transformation Algorithm and Anti-Arnold Transformation Algorithm , 2009, 2009 First International Conference on Information Science and Engineering.

[10]  R. Talwar,et al.  Blind Digital Image Watermarking Robust Against Histogram Equalization , 2012 .

[11]  N. Dey A Novel Approach of Image Encoding and Hiding using Spiral Scanning and Wavelet Based Alpha-Blending Technique , 2011 .

[12]  Sugata Sanyal,et al.  Analysis of Dynamic Source Routing and Destination-Sequenced Distance-Vector Protocols for Different Mobility Models , 2007, First Asia International Conference on Modelling & Simulation (AMS'07).

[13]  S. Arivazhagan,et al.  An efficient method for the detection of employed steganographic algorithm using Discrete Wavelet Transform , 2010, 2010 Second International conference on Computing, Communication and Networking Technologies.