Work place: CGC-COE, Landran, Department of Computer Science & Engineering, Mohali, India
E-mail: ravpreetkaur3@gmail.com
Website:
Research Interests: Image Processing
Biography
Ravpreet Kaur, she is pursuing M.Tech in CSE from CGC-College of Engineering, Landran, Mohali. She received her degree of Bachelor of Technology in CSE from CGC Gharuan( Chandigarh University) , Mohali in 2014. Her area of interest is Digital Image Processing.
By Ravpreet Kaur Manish Mahajan
DOI: https://doi.org/10.5815/ijmecs.2016.09.07, Pub. Date: 8 Sep. 2016
Due to an aggressive development and covert transmission of the computer users over the web, the steganography is acquiring its vogue day by day. It is the method to encode the covert data in a transmission medium in a fashion that the actuality of data must remain hidden. To protect the integrity of the data over the internet becomes necessary for the high sensitivity communications or the data transfers. The steganography carries a number of options for the embedding of the secret data into the cover data. In this manuscript, we have proposed the hybrid representation for the embedding of the data, which utilizes the random pattern embedding along with the cryptography for the higher steganography security levels. The proposed model has been designed to enhance the security level by utilizing the sequential data encoding and decoding in the video data. The video embedding creates the higher level of security for the embedded data. The experimental results have been obtained in the form of the embedding capacity, mean squared error (MSE) and Bits per Pixel (BPP). The proposed model has been found to be efficient enough for the video steganography.
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