A color image steganography in hybrid FRT–DWT domain

Thanki, Rohit M.; Borra, Surekha

doi:10.1016/j.jisa.2018.03.004

Cited by 26 publications

(16 citation statements)

References 15 publications

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“…To emphasize the superiority of the proposed model in terms of the high capacity feature, different percentage values of the secret to cover message length have been tested. The normalized correlation (NC) is used to test the similarity between the original and the reconstructed secret message as in (3) [24]. The performance of any security techniques is perfect if NC value is 1.…”

Section: Resultsmentioning

confidence: 99%

“…However, both the quality of the reconstructed data and capacity rate were low. Both Finite Ridgelet Transform (FRT) and Discrete Wavelet Transform (DWT) were employed in [24] as a hybrid domain for the image steganography. The FRT was applied for a cover image to get ridgelet coefficients of each layer of the cover, then, a single level DWT was applied to get four bands for each layer.…”

Section: No /mentioning

confidence: 99%

“…Several significant features are highlighted. The most important feature is the capacity rate (CR), which refers to the possible frames of the secret message that can be exactly located in the cover image.The capacity rate in the proposed model Methods CR NC [24] 1 1 [23] 1 0.95 proposed 600 1 Table 6. Results of comparison.…”

Section: Comparison Of Proposed Model With Existing Modelsmentioning

confidence: 99%

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A New and Adaptive Security Model for Public Communication Based on Correlation of Data Frames

et al. 2019

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Recent developments in communication and information technologies, plus the emerging of the Internet of Things (IoT) and machine to machine (M2M) principles, create the need to protect data from multiple types of attacks. In this paper, a secure and high capacity data communication model is proposed to protect the transmitted data based on identical frames between a secret and cover data. In this model, the cover data does not convey any embedded data (as in normal steganography system) or modify the secret message (as in traditional cryptography techniques). Alternatively, the proposed model sends the positions of the cover frames that are identical with the secret frames to the receiver side in order to recover the secret message. One of the significant advantages of the proposed model is the size of the secret key message which is considerably larger than the cover size, it may be even hundred times larger. Accordingly, the experimental results demonstrate a superior performance in terms of the capacity rate as compared to the traditional steganography techniques. Moreover, it has an advantage in terms of the required bandwidth to send the data or the required memory for saving when compared to the steganography methods, which need a bandwidth or memory up to 3-5 times of the original secret message. Where the length of the secret key (positions of the identical frames) that should be sent to the receiver increases by only 25% from the original secret message. This model is suitable for applications with a high level of security, high capacity rate and less bandwidth of communication or low storage devices.

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Section: Resultsmentioning

confidence: 99%

Section: No /mentioning

confidence: 99%

Section: Comparison Of Proposed Model With Existing Modelsmentioning

confidence: 99%

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A New and Adaptive Security Model for Public Communication Based on Correlation of Data Frames

et al. 2019

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“…These coefficients are called as approximate wavelet and detail wavelet coefficients. Approximation wavelet coefficients represent low frequency components (LL), while detail wavelet coefficients include high frequency components (LH, HL, HH) [18,19]. The DWT equation is given below.…”

Section: B Discrete Wavelet Transform (Dwt)mentioning

confidence: 99%

“…The HL band is a vertical detail band. The HH band represents diagonal detail [18]. The LH, HL and HH sub-bands are generally used for textural feature extraction [19].…”

Section: B Discrete Wavelet Transform (Dwt)mentioning

confidence: 99%

Improving Facial Image Recognition based Neutrosophy and DWT Using Fully Center Symmetric Dual Cross Pattern

Tuncer¹,

Doğan²

2019

IJIGSP

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Face recognition is one of the most commonly used biometric features in the identification of people. In this article, a novel facial image recognition architecture is proposed with a novel image descriptor which is called as fully center symmetric dual cross pattern (FCSDCP) The proposed architecture consists of preprocessing, feature extraction and classification phases. In the preprocessing phase, discrete wavelet transform (DWT) and Neutrosophy are used together to calculate coefficients of the face images. The proposed FCSDCP extracts features. LDA, QDA, SVM and KNN are utilized as classifiers. 4 datasets were chosen to obtain experiments and the results of the proposed method were compared to other state of art image descriptor based methods and the results clearly shows that the proposed method is a successful method for face classification.

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A survey of recent advances in image steganography

Kumar

Rani

Singh

2022

Security and Privacy

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Over the course of technological development, data security while transmission and storing has always been a field of continuous advancements and key importance. In the recent times, its importance has increased even further and the main reason behind this is the increase in the amount of data that is being transferred over internet and various networks. Although there are cryptographic approaches to handle these situations, steganography provides a different aspect to the solution. While cryptography encrypts the data such that the cipher text is visible to human eye, but the meaning of that encrypted text is never known. Steganography is the process of hiding data in plain sight inside some images, audio, video and so on, such that it is very difficult for the viewer to directly differentiate if there is some data hidden in the host or not. This paper consists a study of various methodologies to implement Image steganography like spatial domain manipulation, encryption based and deep learning approaches. The paper focuses upon recent advances in all these approaches for image steganography and aims to help other researches in this domain to understand recent developments as well future advancements possible in the same field. Furthermore, this paper illustrates about how different image formats effect various image steganography methods and how the various image color models interact with image steganography. Later this article sheds some light on the domain of steganalysis and reports about the fundamental principles as well as various implementations of steganalysis systems in recent times.

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A color image steganography in hybrid FRT–DWT domain

Cited by 26 publications

References 15 publications

A New and Adaptive Security Model for Public Communication Based on Correlation of Data Frames

A New and Adaptive Security Model for Public Communication Based on Correlation of Data Frames

Improving Facial Image Recognition based Neutrosophy and DWT Using Fully Center Symmetric Dual Cross Pattern

A survey of recent advances in image steganography

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