Random Image Embedded in Videos using LSB Insertion Algorithm

Divya, K.; Mahesh, K.

doi:10.14445/22315381/ijett-v13p276

Cited by 4 publications

(2 citation statements)

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“…Divya, K. P. et al [20] has given a new approach to conceal the image in the video frames. The frames are selected in a random manner to embed the image.…”

Section: Related Workmentioning

confidence: 99%

Random Pattern Standard Bit Embedding for Minimized Histogram Difference

Kaur¹,

Mahajan²

2017

IJEME

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The rapid development of the transfer of data via internet made it easier to send the correct information and quicker to the destination. Today's massive demand of web applications needs the information to be communicated in a secure manner. The transmission of information in a public communication system isn't secure because of interception and improper manipulation by an eavesdropper. So for this problem, the solution is Steganography, which means the art of hiding information in ways that avert the revealing of hiding messages. Secure video steganography is a difficult task of sending the embedded data to the receiver without being detected. This paper presents a steganographic model which is based on random pattern based sequential bit encoding. The proposed model has been designed to enhance the security level. The video embedding creates the higher level of security for the embedded data. Here the encrypted secret image is embedded into the blocks of a cover video file which is selected using autocorrelation function which measures the similarity between the two images. The embedding is done on the basis of random selection of the pixels in the blocks of cover video. The performance parameters that are used to obtain results are taken in the form of chi-square histogram difference measurements. The proposed model increases the security by using random pattern embedding.Index Terms: Video steganography, cover video, random pattern, autocorrelation, chi square.

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“…Divya, K. P. et al [20] has given a new approach to conceal the image in the video frames. The frames are selected in a random manner to embed the image.…”

Section: Related Workmentioning

confidence: 99%

Random Pattern Standard Bit Embedding for Minimized Histogram Difference

Kaur¹,

Mahajan²

2017

IJEME

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“…However, size limitations currently restrict the volume of information that can be hidden. For this reason, steganography based on digital video has recently been developed [13][14][15][16] . Compared with traditional media like digital images, the capacity of video is much greater, which makes video steganography very convenient, as well as offering greater redundancy and high communication quality and robustness.…”

Section: Introductionmentioning

confidence: 99%

Novel video steganography algorithm based on secret sharing and error-correcting code for H.264/AVC

Zhang¹,

Zhang²,

Yang³

et al. 2017

Tinshhua Sci. Technol.

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In this paper, we analyze the video steganography technique, which is used to ensure national security and the confidentiality of the information of governmental agencies and enterprises. Videos may be used to transmit secrets and conduct covert communication. As such, we present an algorithm based on a secret sharing scheme and an Error-Correcting Code (ECC), which combines Grey Relational Analysis (GRA) with a partition mode in video compression standard H.264/AVC. First, we process secret information by secret sharing, and then use an ECC to process the obtained information. Moreover, we choose the Discrete Cosine Transform (DCT) blocks using GRA, and then use rules to hide the pretreated information in DCT coefficients of the video frames. Experimental results indicate that our algorithm has good invisibility, better robustness, good anti-steganalysis ability, and little influence on the bit rate of the video carrier. In addition, the bit error rate is low after attacks such as noise, filtering, or frame loss in the simulation environment.

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