Subjects
-Abstract
Video Steganography is a technique that is used to transmit information by modifying video frames in an imperceptible manner and depending on the weakness of the Human Visual System (HVS) in distinguishing the simple differences between colored images. This paper is about embedding encrypted information (texts and gray images) which have been encrypted using RSA technique at sender side in video frames which are used as a cover. This embedding has been applied using two methods. The first is considered a parity Least Significant Bit (LSB) in the R - image (Red-image) of video frames and the second method was XORing of LSB for each pixel in the R - image (Red-image) of video frames and the bit next to it. The embedding has been applied in the frequency domain after applying Combined (Discrete Wavelet Transform - Discrete Cosine Transform) DWT-DCT Algorithm. First DWT2 for three times on each R-frame has been applied, then these transformations followed by DCT2 for HH3 band and quantization has been applied. The hidden data has been embedded in some coefficients in the middle sub-band. After embedding dequantization has been applied and the inverse for all the transformations has been applied in reverse order to get a frame again in the spatial domain. Stego video has been reconstructed then sentover data network to the receiver who can extract the secret encrypted message after implementing the same procedure then decrypt it using private key to get the secret message. The proposed system was tested using Mean Square Error (MSE) and Peak Signal to Noise Ratio (PSNR) for different noise (salt and pepper) densities which have been added as a sort of effective attack that may change the secret message.
DOI
10.21608/bfemu.2020.102729
Keywords
Information Hiding, Information Security, Encryption (RSA), Video Steganography, Human Visual System (HVS)
Authors
Affiliation
Department of Electronics and Communications engineering, Faculty of Engineering, El-Mansoura University, Mansoura, Egypt
Email
hhsoliman@hotmail.com
City
-Orcid
-Affiliation
Department of Electronics and Communications engineering, Faculty of Engineering, El-Mansoura University, Mansoura, Egypt
Email
hossam_moustafa@mans.edu.eg
City
-Orcid
-Affiliation
Department of Electronics and Communications Engineering., Faculty of Engineering., El-Mansoura University., Mansoura., Egypt.
Email
engineer_em@hotmail.com
Orcid
-Link
https://bfemu.journals.ekb.eg/article_102729.html
Detail API
https://bfemu.journals.ekb.eg/service?article_code=102729
Publication Title
MEJ. Mansoura Engineering Journal
Publication Link
https://bfemu.journals.ekb.eg/
MainTitle
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