Analysis of Image Steganography Techniques: A Survey

Rai, Pooja; Gurung, Sandeep; Ghose, M. K.

doi:10.5120/19941-1731

Cited by 11 publications

(9 citation statements)

References 18 publications

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“…Otherwise, HHx (high frequency subbands) contain the textures and edges of the image and the changes on such sub-bands cannot be noticed by human naked eyes. So, The embedding process will be done on the coefficients of high frequency sub-bands [39]. After embedding watermark, perform inverse Discrete Wavelet Transformations (IDWT).…”

Section: Discrete Wavelet Transformationmentioning

confidence: 99%

Steganography Literature Survey, Classification and Comparative Study

El‐Sayed¹,

Attiya²,

Fkirin³

2016

CAE

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Transmitting confidential images between two channels suffer from hacking. Therefore, protecting confidentiality has become a very essential issue. Recently, several methods are developed to protect important information. The main idea is based on embedding important information in multimedia carrier such as: text, image, audio, and video. The developed methods may be classified as steganography and watermarking. Steganography aims to embed huge amount of secret data in multimedia carrier while watermarking aims to hid small amount of secret data in multimedia carrier. This paper first presents a literature survey of information hiding, then classifies the proposed methods, and finally introduces a comparative study between the different methods. General TermsAlgorithms, Steganography.

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Section: Discrete Wavelet Transformationmentioning

confidence: 99%

Steganography Literature Survey, Classification and Comparative Study

El‐Sayed¹,

Attiya²,

Fkirin³

2016

CAE

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“…A watermarking method aims to protect the copyright of digital content owners. A steganography technique hides both the secret data and the relationship between the sender and the receiver, while a watermarking method protects only the secret data [4]. In a cryptography method, both the sender and the receiver can be identified and the main objective is to protect the content of the secret data.…”

Section: Introductionmentioning

confidence: 99%

A New Method of Coding for Steganography Based on LSB Matching Revisited

Fateh

Rezvani

Irani

2021

Security and Communication Networks

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LSB matching revisited is an LSB-based approach for image steganography. This method is a type of coding to increase the capacity of steganography. In this method, two bits of the secret message are hidden in two pixels with only one change. But this method provides no idea for hiding a message with a large number of bits. In other words, this method works only for n = 2 , where n is the number of bits in a block of the secret message. In this paper, we propose an improved version of the LSB matching revisited approach, which works for n > 2 . The proposed scheme contains two phases including embedding and extracting the message. In the embedding phase, we first convert the secret message into a bit-stream, and then the bit-stream is divided into a set of blocks including n bits in each block. Then we choose 2 n − 1 pixels for hiding such n bits of the secret message. In the next step, we choose the operations needed to generate such a message. Finally, we perform the obtained operations over the coefficients to hide the secret message. The proposed approach needs fewer changes than LSB MR when n > 2 . The capacity of the proposed approach is 2 n − 1 / 2 n − 1 − 1 × 100 % higher than the F5 method where this value for n > 2 is bigger than 75%. For example, the capacity of our scheme is 75% higher than the capacity of F5 for n = 3 . The proposed method can be used in the first step of every steganography method to reduce the change in the stego image. Therefore, this method is a new coding method for steganography. Our experimental results using steganalysis show that using our method provides around 10% higher detection error for SRNet over two steganography schemes.

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“…Therefore, the defence of the chosen steganography technique against various attacks from any adversary is very important. The performance of various steganography methods can be evaluated by two of the most important parameters [5], which are the robustness and security of the stego image.…”

Section: Introductionmentioning

confidence: 99%

The use of Least Significant Bit (LSB) and Knight Tour Algorithm for image steganography of cover image

Nie

Sulong

Ali

et al. 2019

IJECE

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<span lang="EN-US">Steganography is one of the method to communicate in a hidden way. In another word, steganography literally means the practice of hiding messages or information within another data. Previous studies have proposed various steganography techniques using different approaches including Least Significant Bit (LSB), Discrete Cosine Transform (DCT) and Discrete Wavelet Transform (DWT). However, different approaches still have its own weaknesses. Therefore image stenography using Knight Tour Algorithm with Least Significant Bit (LSB) technique is presented. The main objective is to improve the security factor in the stego image. Basically, the proposed technique is divided into two parts which are the sender and receiver side. Then, steganalysis which is a type of attack on stenography algorithm is used to detect the secret message in the cover image by the statistical analysis of pixel values. Chi Square Statistical Attach which is one of the type of steganalysis is used to detect these near-equal Po Vs in images and bases the probability of embedding on how close to equal the even pixel values and their corresponding odd pixel values are in the test image. The Knight Tour Algorithm is applied due to the common Least Significant Bit technique that is weak in security and easily decoded by outsider.</span>

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Analysis of Image Steganography Techniques: A Survey

Cited by 11 publications

References 18 publications

Steganography Literature Survey, Classification and Comparative Study

Steganography Literature Survey, Classification and Comparative Study

A New Method of Coding for Steganography Based on LSB Matching Revisited

The use of Least Significant Bit (LSB) and Knight Tour Algorithm for image steganography of cover image

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