scholarly journals Universal statistical steganalytic method

2017 ◽  
Vol 68 (2) ◽  
pp. 117-124
Author(s):  
Martin Broda ◽  
Vladimír Hajduk ◽  
Dušan Levický
Keyword(s):  
Wavelet Transformation ◽  
Ensemble Classifier ◽  
Secret Message ◽  
Discrete Wavelet ◽  
Detection Accuracy ◽  
Discrete Cosine Transformation ◽  
Static Images ◽  
Novel Method ◽  
Statistical Steganalysis ◽  
Popular Image

Abstract Novel image steganalytic method used to detection of secret message in static images is introduced in this paper. This method is based on statistical steganalysis (SS), where statistical vector is composed by 285 statistical features (parameters) extracted from DCT (Discrete Cosine Transformation) domain and 46 features extracted mainly from DWT (Discrete Wavelet Transformation) domain. Classification process was realized by Ensemble classifier that was helpful in reduction of computational and time complexity. Proposed steganalytic method was verified by detection of popular image steganographic methods. Novel method was also compared with existing steganalytic methods by overall detection accuracy of a secret message.

A High Capacity Reversible Data Hiding Scheme Based on Multi-Level Integer DWT and Histogram Modification

2014 ◽  
Vol 6 (1) ◽  
pp. 51-64 ◽  
Author(s):  
Shun Zhang ◽  
Tie-gang Gao ◽  
Fu-sheng Yang
Keyword(s):  
Data Hiding ◽  
Reversible Data Hiding ◽  
Wavelet Transformation ◽  
High Capacity ◽  
Discrete Wavelet ◽  
Embedding Capacity ◽  
Discrete Cosine Transformation ◽  
Histogram Modification ◽  
Multi Level ◽  
High Embedding Capacity

A reversible data hiding scheme based on integer DWT and histogram modification is proposed. In the scheme, the cover media is firstly transformed by Integer DWT (Discrete Wavelet Transformation); then information is embedded through the modification of histograms of the middle and high frequency sub-bands of the DWT coefficients. In order to increase the embedding capacity, a multi-level scheme is proposed, which achieved both high embedding capacity and reversibility. Extensive experimental results have shown that the proposed scheme achieves both higher embedding capacity and lower distortion than spatial domain histogram modification based schemes; and it achieved better performance than integer DCT (Discrete Cosine Transformation) based histogram modification scheme.

Evaluvation of Multiresolution Watermarking Algorithm

2017 ◽  
Vol 7 (8) ◽  
pp. 85
Author(s):  
S. Thabasu Kannan ◽  
S. Azhagu Senthil
Keyword(s):  
Digital Watermarking ◽  
Wavelet Transformation ◽  
Signal To Noise Ratio ◽  
Rapid Development ◽  
Threshold Value ◽  
Discrete Wavelet ◽  
Digital Production ◽  
Common Framework ◽  
Sampling Operation ◽  
Watermarking Scheme

Now-a-days watermarking plays a pivotal role in most of the industries for providing security to their own as well as hired or leased data. This paper its main aim is to study the multiresolution watermarking algorithms and also choosing the effective and efficient one for improving the resistance in data compression. Computational savings from such a multiresolution watermarking framework is obvious. The multiresolutional property makes our watermarking scheme robust to image/video down sampling operation by a power of two in either space or time. There is no common framework for multiresolutional digital watermarking of both images and video. A multiresolution watermarking based on the wavelet transformation is selected in each frequency band of the Discrete Wavelet Transform (DWT) domain and therefore it can resist the destruction of image processing.   The rapid development of Internet introduces a new set of challenging problems regarding security. One of the most significant problems is to prevent unauthorized copying of digital production from distribution. Digital watermarking has provided a powerful way to claim intellectual protection. We proposed an idea for enhancing the robustness of extracted watermarks. Watermark can be treated as a transmitted signal, while the destruction from attackers is regarded as a noisy distortion in channel.  For the implementation, we have used minimum nine coordinate positions. The watermarking algorithms to be taken for this study are Corvi algorithm and Wang algorithm. In all graph, we have plotted X axis as peak signal to noise ratio (PSNR) and y axis as Correlation with original watermark. The threshold value ά is set to 5. The result is smaller than the threshold value then it is feasible, otherwise it is not.

scholarly journals Secure Data Transfer over Internet Using Image Steganography: Review

2021 ◽  
pp. 33-52
Author(s):  
Dakhaz Mustafa Abdullah ◽  
Siddeeq Y. Ameen ◽  
Naaman Omar ◽  
Azar Abid Salih ◽  
Dindar Mikaeel Ahmed ◽  
...  
Keyword(s):  
Digital Media ◽  
Private Information ◽  
Data Transfer ◽  
Well Being ◽  
Discrete Wavelet ◽  
Transform Domain ◽  
Least Significant Bit ◽  
Discrete Cosine Transformation ◽  
Hide Information ◽  
Pixel Value

Whether it's for work or personal well-being, keeping secrets or private information has become part of our everyday existence. Therefore, several researchers acquire an entire focus on secure transmitting secret information. Confidential information is collectively referred to as Steganography for inconspicuous digital media such as video, audio, and images. In disguising information, Steganography plays a significant role. Traditional Steganography faces a further concern of discovery as steganalysis develops. The safety of present steganographic technologies thus has to be improved. In this research, some of the techniques that have been used to hide information inside images have been reviewed. According to the hiding domain, these techniques can be divided into two main parts: The spatial Domain and Transform Domain. In this paper, three methods for each Domain have been chosen to be studied and evaluated. These are; Least Significant Bit (LSB), Pixel Value Difference (PVD), Exploiting Modification Direction (EMD), contourlet transform, Discrete Wavelet Transformation (DWT), and, Discrete Cosine Transformation (DCT). Finally, the best results that have been obtained in terms of higher PSNR, Capacity, and more robustness and security are discussed.

scholarly journals STUDI DAN IMPLEMENTASI STEGANOGRAFI METODE ALGORITMA DAN TRANSFORMASI PADA CITRA JPEG

Teknika ◽  
2013 ◽  
Vol 2 (1) ◽  
pp. 46-58
Author(s):  
Timothy John Pattiasina
Keyword(s):  
Frequency Domain ◽  
Wavelet Transformation ◽  
Spatial Domain ◽  
Discrete Cosine Transformation ◽  
Cosine Transformation

Steganografi adalah seni dan ilmu menulis atau menyemhunyikan pesan tersembunyi dengan suatu cara sehingga selain si pengirim dan si penerima, tidak ada seorangpun yang mengetahui atau menyadari bahwa ada suatu pesan rahasia. lstilah steganografi termasuk penyemhunyian data digital dalam komputer Ada beberapa metode steganografi, salah satunya adalah metode Algorithms and Transformation. Metode menyembunyikan data dalam fungsi matematika yang disebut algoritma compression. Dua fungsi tersebut adalah Discrete Cosine Transformation (DCT) dan Wavelet Transformation. Fungsi DCT dan Wavelet yaitu untuk mentransformasikan data dari satu tempat (domain) ke tempat (domain) yang lain. Fungsi DCT yaitu mentransformasi data dari tempat spatial (spatial domain) ke tempat fiekuensi (frequency domain).

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