DocumentCode :
2776897
Title :
Steganography algorithm based on discrete cosine transform for data embedding into raw video streams
Author :
Rajesh, G.R. ; Nargunam, A. Shajin
Author_Institution :
Noorul Islam Univ., Thuckalay, India
fYear :
2013
fDate :
12-14 Dec. 2013
Firstpage :
554
Lastpage :
558
Abstract :
Steganography is the art of hiding information in ways that avert the revealing of hiding messages. While mostly applied to still images in the past, it has become very popular for video streams recently. When steganographic methods are applied to digital video streams, the selection of target pixels, which are used to store the secret data, is especially crucial for an effective and successful embedding process; if pixels are not selected carefully, undesired spatial and temporal perception problems occur in the stegno-video. Typically, an irrecoverable steganography algorithm is the algorithm that makes it hard for malicious third parties to discover how it works and how to recover the secret data out of the carrier file. In this paper, a new embedding algorithm is proposed to hide the secret data in moving videos. The 2D-DCT of the video is taken and the secret message is embedded. The PSNR value is calculated to evaluate the quality of the video after the data hiding. The simulation results shows that the proposed algorithm is the best suited for steganography.
Keywords :
discrete cosine transforms; embedded systems; steganography; video streaming; 2D-DCT; PSNR value; data embedding; data hiding; digital video streaming; discrete cosine transform; malicious third party; spatial perception problem; steganography algorithm; stegnovideo; target pixel selection; temporal perception problem; Discrete Cosine transform; Information hiding; Video Steganography;
fLanguage :
English
Publisher :
iet
Conference_Titel :
Sustainable Energy and Intelligent Systems (SEISCON 2013), IET Chennai Fourth International Conference on
Conference_Location :
Chennai
Print_ISBN :
978-1-78561-030-1
Type :
conf
DOI :
10.1049/ic.2013.0370
Filename :
7119757
Link To Document :
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