Wednesday 20th of September 2017
 

Scalable and Highly Secured Image Steganography Based on Hopfield Chaotic Neural Network and Wavelet Transforms


B.Geetha Vani and E. V. Prasad

Steganography is the science of communicating in the hidden manner. This paper presents a robust and secured Image Steganography method capable of embedding high volume of text information in digital cover-image without incurring any perceptual distortion. The method is based on compression and encryption. In order to achieve high capacity, dictionary based lossless compression techniques are used. And to achieve high security, encryption mechanism using Hopfield Chaotic Neural network is used. The message to be transmitted is compressed first using Lempel Ziv scheme technique and is encrypted by HCNN and then embedded into the image using Discrete Wavelet transforms. The proposed method is tested with different images and text of various lengths and found to be efficient, secure and has high embedding capacity.

Keywords: Steganography, Lossless dictionary based compression technique, Lempel Ziv scheme techniques, Hopfield Chaotic Neural network, Discrete Wavelet Transforms

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ABOUT THE AUTHORS

B.Geetha Vani
B.Geetha Vani has received the B.Tech degree in Computer Science and Engineering from JNTU Hyderabad in 1993 and M. Tech degree in Computer Science and Engineering from JNTU Hyderabad in 2003. Currently pursuing Ph.D from JNTU Kakinada, India. Her Research interests include Theory of Computation, Artificial Neural Networks, Image Processing and Information Security.

E. V. Prasad
Dr.E.V.Prasad has received Ph.D degree in Computer Science and Engineering from IIT, Roorke, India. He is having 34 years of experience in teaching. He joined in JNTU College of Engineering in the year 1979 and served in various positions like Head of the Department, Vice Principal, Principal, Director of IST, Registrar and presently Rector, JNTU Kakinada, India. He has taught over 16 courses in CSE and has guided 6 Ph.D students successfully and presently supervising 9 Ph.D candidates. He is the Co author of six books and published more than six dozen papers in national and International journals and conferences. His research interests include Parallel Computing, Data Mining, and Information Security.


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