A New Approach for Information Security using an Improved Steganography Technique

Juneja, Mamta; Sandhu, Parvinder S.

doi:10.3745/jips.2013.9.3.405

Cited by 37 publications

(22 citation statements)

References 32 publications

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“…In [13], M. Juneja et al, proposed a secure methods of information security using steganography, the first method embeds In the LSB of the blue components partial green components of random positions in the edges of the green component, the second method is an adaptive method that uses the data of the MSB of the red, green and blue components to embed the message in the random pixels across smooth areas, the third method is a hybrid feature detection filter that predicts the edges in noisy conditions.…”

Section: Related Workmentioning

confidence: 99%

An Image Steganography Algorithm using Haar Discreet Wavelet Transform with Advanced Encryption System

Houssein¹,

Ali²,

Hassanien³

2016

Annals of Computer Science and Information Systems

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Abstract-The security of data over the internet is a crucial thing specially if this data is personal or confidential. The transmitted data can be intercepted during its journey from device to another. For that reason, we are willing to develop a simple method to secure data. Data encryption is one method to secure the messages but the intruders can still try to crack it, in order to overcome this, steganography has been used to hide the data into a cover media(i.e. audio, image or video). Recently steganography attracts many researchers as a hot topic. This paper proposes an advanced technique for encrypting data using Advanced Encryption System (AES) and hiding the data using Haar Discreet Wavelet Transform (HDWT). HDWT aims to decrease the complexity in image steganology while providing less image distortion and lesser detectability. One-forth of the image carrying the details of the image in a region and other three regions carrying a less details of the image then the cipher text is concealed at most two Least Significant Bits (LSB) positions in the less detailed regions of the carrier image, if the message doesn't fit in the first LSB only it will use the second LSB. This proposed algorithm covers almost all type of symbols and alphabets.

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Section: Related Workmentioning

confidence: 99%

An Image Steganography Algorithm using Haar Discreet Wavelet Transform with Advanced Encryption System

Houssein¹,

Ali²,

Hassanien³

2016

Annals of Computer Science and Information Systems

View full text Add to dashboard Cite

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“…Mamta Juneja et al, in [5] presents two components based on LSB technique for embedding secret information in the LSB's of the blue plan and partial green plan of random locations of pixels at the edges of the cover images, it's integrated with an Advanced Encryption Standard to be more robust.…”

Section: A Lsb Techniquementioning

confidence: 99%

An Enhanced Steganographic Model Based on DWT Combined with Encryption and Error Correction Techniques

Yasin¹,

Shehab²,

Sabha³

et al. 2015

ijacsa

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Abstract-Theproblem of protecting information, modification, privacy and origin validation are very important issues and became the concern of many researchers. Handling these problems definitely is a big challenge and this is probably why so much attention directed to the development of information protection schemes. In this paper, we propose a robust model that combines and integrates steganographic techniques with encryption, and error detection and correction techniques in order achieve secrecy, authentication and integrity. The idea of applying these techniques is based on decomposing the image into three separate color planes Red, Green and Blue and then depending on the encryption key we divide the image into N blocks. By applying DWT on each block independently, this model enables hiding the information in the image in an unpredictable manner. The part of the image where information embedded is a key depended and unknown to the intruder and by this we achieve blinded DWT effect. To enhance reliability the proposed model that uses hamming code which helps to recover lost or modified information. The proposed Model implemented and tested successfully.

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“…Juneja, M. et al [24] presents a secured sturdy technique of security of information. It provides two sections based LSB approaches for embedding the secret information in the LSB's of the blue part and some of the green part of the random pixel position on the edge of images.…”

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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A New Approach for Information Security using an Improved Steganography Technique

Cited by 37 publications

References 32 publications

An Image Steganography Algorithm using Haar Discreet Wavelet Transform with Advanced Encryption System

An Image Steganography Algorithm using Haar Discreet Wavelet Transform with Advanced Encryption System

An Enhanced Steganographic Model Based on DWT Combined with Encryption and Error Correction Techniques

Random Pattern Standard Bit Embedding for Minimized Histogram Difference

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