An Enhanced DNA-based Steganography Technique with a Higher Hiding Capacity

2015 ◽  
Author(s):  
Samiha Marwan ◽  
Ahmed Shawish ◽  
Khaled Nagaty
Keyword(s):  
Hiding Capacity

Choice of hiding capacity and frequency coefficients in DCT domain hiding algorithm

2011 ◽  
Vol 31 (4) ◽  
pp. 963-965
Author(s):  
Jian-quan XIE ◽  
Qing XIE ◽  
Li-jun TIAN
Keyword(s):  
Hiding Capacity ◽  
Dct Domain

Study on the Technology of Information Hiding Based on HTML Tags

2013 ◽  
Vol 798-799 ◽  
pp. 423-426
Author(s):  
Xiao Feng Wang
Keyword(s):  
Information Hiding ◽  
Hiding Capacity ◽  
Comprehensive Utilization ◽  
New Methods ◽  
Text Information ◽  
Information Hiding Capacity

Through the analysis of the hypertext markup, proposed and implemented several new methods of text information hiding. The concealment of these methods is better, Comprehensive utilization of these methods can obtain large information hiding capacity, better concealed. And they have better robustness for traditional attack.

scholarly journals Video steganography based on DCT psychovisual and object motion

2020 ◽  
Vol 9 (3) ◽  
pp. 1015-1023 ◽  
Author(s):  
Muhammad Fuad ◽  
Ferda Ernawan
Keyword(s):  
Video Quality ◽  
Object Motion ◽  
Multimedia Data ◽  
Secret Message ◽  
Hiding Capacity ◽  
Video Steganography ◽  
Limited Bandwidth ◽  
Video Frames ◽  
Dct Coefficients ◽  
Video Reconstruction

Steganography is a technique of concealing the message in multimedia data. Multimedia data, such as videos are often compressed to reduce the storage for limited bandwidth. The video provides additional hidden-space in the object motion of image sequences. This research proposes a video steganography scheme based on object motion and DCT-psychovisual for concealing the message. The proposed hiding technique embeds a secret message along the object motion of the video frames. Motion analysis is used to determine the embedding regions. The proposed scheme selects six DCT coefficients in the middle frequency using DCT-psychovisual effects of hiding messages. A message is embedded by modifying middle DCT coefficients using the proposed algorithm. The middle frequencies have a large hiding capacity and it relatively does not give significant effect to the video reconstruction. The performance of the proposed video steganography is evaluated in terms of video quality and robustness against MPEG compression. The experimental results produce minimum distortion of the video quality. Our scheme produces a robust of hiding messages against MPEG-4 compression with average NC value of 0.94. The proposed video steganography achieves less perceptual distortion to human eyes and it's resistant against reducing video storage.

An Improved ECG Steganography Using Integer Wavelet Transform and Offset Coefficient with LSB Substitution

2021 ◽  
Author(s):  
Ching-Yu Yang ◽  
Wen-Fong Wang
Keyword(s):  
Wavelet Transform ◽  
Personal Information ◽  
Signal To Noise Ratio ◽  
Computation Time ◽  
Integer Wavelet Transform ◽  
Wearable Electronics ◽  
Least Significant Bit ◽  
Hiding Capacity ◽  
Offset Coefficient ◽  
Integer Wavelet

Abstract In this work, we present an improved steganography for electrocardiogram (ECG) hosts to solve the issues of existing ECG steganographic methods, which have less hiding capacity and insufficient signal-to-noise ratio (SNR)/ peak SNR (PSNR). Based on the integer wavelet transform (IWT) domain, sensitive (or private) data such as patients’ data and personal information can be efficiently embedded in an ECG host via the IWT coefficient adjustment and the least significant bit (LSB) technique. Simulations confirmed that the SNR/ PSNR, and payload of the proposed method outperform those of existing techniques. In addition, the proposed method is capable of resisting attacks, such as cropping, Gaussian noise-addition inversion, scaling, translation, and truncation attacks from third parties (or adversaries). Due to the fast computation time, the proposed method can be employed in portable biometric devices or wearable electronics.

Secret Communication Techniques

2019 ◽  
pp. 1-19
Keyword(s):  
Digital Media ◽  
Quality Parameters ◽  
Image Steganography ◽  
Hiding Capacity ◽  
Video Steganography ◽  
Communication Techniques ◽  
Secret Communication ◽  
Text Steganography ◽  
Distortion Measure

This chapter introduces the reader to cryptography, steganography, watermarking, and quality parameters of image steganography techniques. Cryptography is a technique for secret communication. Steganography is a technique for secret and unnoticeable communication. The watermarking techniques hide watermarks inside the digital media. There are four types of steganography techniques: (1) image steganography, (2) audio steganography, (3) video steganography, and (4) text steganography. The quality of image steganographic algorithms can be measured by three parameters like (1) hiding capacity, (2) distortion measure, and (3) security check.

Issues on Image Authentication

2005 ◽  
pp. 173-206
Author(s):  
Ching-Yung Lin
Keyword(s):  
Image Authentication ◽  
Unique Property ◽  
Hiding Capacity ◽  
Video Authentication ◽  
Semantic Level ◽  
Security Issues ◽  
Novel Technique ◽  
Multimedia Authentication ◽  
Information Hiding Capacity ◽  
Different Levels

Multimedia authentication distinguishes itself from other data integrity security issues because of its unique property of content integrity in several different levels — from signal syntax levels to semantic levels. In this section, we describe several image authentication issues, including the mathematical forms of optimal multimedia authentication systems, a description of robust digital signature, the theoretical bound of information hiding capacity of images, an introduction of the self-authentication-and-recovery image (SARI) system, and a novel technique for image/video authentication in the semantic level. This chapter provides an overview of these image authentication issues.

On the Implementation of a Digital Image Watermarking Framework Using Saliency and Phase Congruency

2017 ◽  
pp. 253-292
Author(s):  
Abhishek Basu ◽  
Susmita Talukdar
Keyword(s):  
Data Hiding ◽  
Digital Image ◽  
Image Watermarking ◽  
Saliency Map ◽  
Digital Image Watermarking ◽  
Phase Congruency ◽  
Hiding Capacity ◽  
Spectral Residual ◽  
Watermarking Scheme ◽  
Least Significant Bits

In this paper, a saliency and phase congruency based digital image watermarking scheme has been projected. The planned technique implants data at least significant bits (LSBs) by means of adaptive replacement. Here more information is embedded into less perceptive areas within the original image determined by a combination of spectral residual saliency map and phase congruency map. The position of pixels with less perceptibility denotes the most unimportant region for data hiding from the point of visibility within an image. Therefore any modification within these regions will be less perceptible to one observer. The model gives a concept of the areas which has excellent data hiding capacity within an image. Superiority of the algorithm is tested through imperceptibility, robustness, along with data hiding capacity.

scholarly journals High-Payload Data-Hiding Method for AMBTC Decompressed Images

Entropy ◽  
2020 ◽  
Vol 22 (2) ◽  
pp. 145
Author(s):  
Jung-Yao Yeh ◽  
Chih-Cheng Chen ◽  
Po-Liang Liu ◽  
Ying-Hsuan Huang
Keyword(s):  
Data Hiding ◽  
High Capacity ◽  
Cover Image ◽  
Secret Data ◽  
Perceptual Distortion ◽  
Hiding Capacity ◽  
High Data ◽  
Capacity Data ◽  
High Payload ◽  
Better Than

Data hiding is the art of embedding data into a cover image without any perceptual distortion of the cover image. Moreover, data hiding is a very crucial research topic in information security because it can be used for various applications. In this study, we proposed a high-capacity data-hiding scheme for absolute moment block truncation coding (AMBTC) decompressed images. We statistically analyzed the composition of the secret data string and developed a unique encoding and decoding dictionary search for adjusting pixel values. The dictionary was used in the embedding and extraction stages. The dictionary provides high data-hiding capacity because the secret data was compressed using dictionary-based coding. The experimental results of this study reveal that the proposed scheme is better than the existing schemes, with respect to the data-hiding capacity and visual quality.

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