LSB Layer Independent Robust Steganography using Binary Addition

Datta, Bithin; Mukherjee, Upasana; Bandyopadhyay, Samir Kumar

doi:10.1016/j.procs.2016.05.188

Cited by 15 publications

(20 citation statements)

References 8 publications

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“…Even though they are able to know the binary addition technique used here then also don"t get the actual target bits without knowing the number of LSB layers involved for binary addition. Two data bits are embedded in each pixel so from capacity point of view this technique is two times better than standard LSB technique for steganography [16].…”

Section: Related Workmentioning

confidence: 99%

“…The algorithm, named DCT-M3, uses modulus 3 of the difference between two DCT coefficients to embed two bits of the compressed form of the secret message. The proposed algorithm reduces significantly the number of changes in the cover image; the embedding capacity has been improved by 16.7% approximately while maintaining minimum detectability against blind steganalysis schemes [21].…”

Section: Related Workmentioning

confidence: 99%

“…The DCT-M3 technique introduces a new algorithm for embedding the secret message by trying to minimize the changes in the cover image properties. The DCT-M3 algorithm reduces significantly the number of changes in the cover image; the embedding capacity has been improved by 16.7% approximately while maintaining minimum detectability against blind steganalysis schemes.…”

Section: Outcomes Of the Studymentioning

confidence: 99%

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An Analysis on LSB Image Steganography with Colour Image as Cover

Chaturvedi¹,

Mohi²

2018

IJCA

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LSB-based steganographic methods embed secret messages into the cover image by directly manipulating the leastsignificant-bit (LSB) plane. Although it is not the best steganographic method, LSB replacement is worth studying because of its large embedding capacity and simplicity. In LSB replacement, the LSB plane is simply replaced with the secret message so that the LSB values carry the hidden message directly. As more and more techniques of hiding information (Steganography) are developed, the methods of detecting the use of steganography (Steganalysis), also advance. Most steganography techniques change the properties of the cover source which increases the probability of detecting the changes. The DCT-M3 algorithm reduces significantly the number of changes in the cover image; the embedding capacity has been improved by 16.7% approximately while maintaining minimum detectability against blind steganalysis schemes. The effectiveness of steganography is measured using three parameters. First, the steganographic technique must provide the maximum information. Second, the embedded data must not be traceable to the viewer. Third, the hidden information should be successfully retrieved at the receiver. It is difficult to recognize the existence of a hidden data in the cover image using the existing methods. This is because embedding is randomly performed in the frequency domain. General TermsSteganography, LSB (Least Significant Bit) image.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Outcomes Of the Studymentioning

confidence: 99%

See 1 more Smart Citation

An Analysis on LSB Image Steganography with Colour Image as Cover

Chaturvedi¹,

Mohi²

2018

IJCA

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“…Thus, security is achieved by hiding the existence of the message [7].The main objectives of steganography are imperceptibility, robustness, capacity of the hidden message, and resistance to tampering [8,9]. Imperceptibility refers to hiding data in such a way that the cover media can be discovered only by the receiver [10]. Robustness is the level of difficulty required to destroy embedded information without destroying the cover media and extracting the required information [11].…”

Section: Introductionmentioning

confidence: 99%

“…Capacity means the amount of information or data that can be embedded without affecting the imperceptibility of cover media. Therefore, the embedding capacity remains a factor that proves the importance of steganography [10,11]. Although these three objectives are much interrelated, they should meet within steganography without disturbing each other [10].…”

Section: Introductionmentioning

confidence: 99%

A Novel Information Security System based on Steganography and Compression Techniques for Higher Education Institutions

Hosnia¹,

Ahmed²

2018

IJCA

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With the advancement of technology and the methods of information storage and exchange, the security of information and data became a vital issue for many institutions, especially higher education institutions. This paper introduces a novel and efficient information security system based on steganography and compression techniques to address the issues related to the security and efficient transmission of secret data in higher education institutions. In this system, the Lempel Ziv Welch (LZW) compression technique is used to compress the data to be hidden, to reduce their size and thereby reduce the percentage of distortion that may occur to the cover image. In addition, a new data hiding algorithm has been developed depending on the second bit, where data are hidden based on LSB without making any changes to the values of the second bit. If any changes are made, these will be only within LSB, which reduces the distortion in the cover image and increases the similarity between the cover image before and after hiding. In the retrieval stage, hidden data are retrieved from the second bit only. The proposed system performance was evaluated in terms of MSE (mean square of error), PSNR (peak signal-to-noise ratio), PD (pixel distortion) and BER (bit error rate). The experimental results confirm the efficiency of the proposed system that achieves good results with higher PSNR and lower MSE.

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