Imperceptible and Robust DWT-SVD-Based Digital Audio Watermarking Algorithm

Darabkh, Khalid A.

doi:10.4236/jsea.2014.710077

Cited by 24 publications

(7 citation statements)

References 33 publications

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“…Data Encryption Standard (DES), Advanced Encryption Standard (AES) and Rivest-Shamir-Adleman cryptosystem (RSA) are some of the common encryption methods [13]. The other approach is data hiding which is basically classified into two parts, namely, watermarking and steganography [14][15][16][17]. The main difference between them is that the former secures the carrier-object along with copyright information, while the later secures the embedded message into the carrier-object only [18][19][20][21][22][23][24].…”

Section: Introductionmentioning

confidence: 99%

A New Steganographic Algorithm Based on Multi Directional PVD and Modified LSB

Darabkh

2017

ITC

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Steganographic techniques can be utilized to conceal data within digital images with small or invisible changes in the perceived appearance of the image. Generally, five main objectives are used to assess the performance of steganographic algorithms which include embedding capacity, imperceptibility, security, robustness and complexity. However, steganographic algorithms hardly take all of these factors into account. In this paper, a novel steganographic algorithm for digital images is proposed based on the pixel-value differencing (PVD) and modified least-significant bit (LSB) substitution (MDPVD-MLSB) techniques to address most of aforementioned objectives. Although there are many techniques for concealing data within pixels, the restricting factor is always the amount of bits adjusted in every pixel. Therefore, the main contributions of this paper aim to achieve a balance between the amount of embedded data, the level of acceptable distortion, as well as providing high level of security. The performance of this algorithm has been extensively evaluated in terms of embedding capacity, peak signal-to-noise ratio (PSNR) and structural similarity index measure (SSIM). Simulation results and comparisons with six relevant algorithms are presented to demonstrate the effectiveness of this proposed algorithm.

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Section: Introductionmentioning

confidence: 99%

A New Steganographic Algorithm Based on Multi Directional PVD and Modified LSB

Darabkh

2017

ITC

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“…Science, mathematics, engineering, computer networking, medical specialties, and even literature are some of the fields which use computer programs in their courses to apply the skills taught theoretically in the class room in a practical way and to create a simulated environment which make the learning process more interactive, realistic, and even efficient compared to the old traditional methods . However, to take advantage of these programs, a basic knowledge of computer software is required by the student along with the physical ability to interact with the machine using input and output devices .…”

Section: Introductionmentioning

confidence: 99%

An efficient speech recognition system for arm‐disabled students based on isolated words

Darabkh

Haddad

Sweidan

et al. 2017

Comp Applic In Engineering

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Over the previous decades, a need has emerged to empower human‐machine communication systems, which are essential to not only perform actions, but also obtain information especially in education applications. Moreover, any communication system has to introduce an efficient and easy way for interaction with a minimum possible error rate. The keyboard, mouse, trackball, touch‐screen, and joystick are all examples of tools which were built to provide mechanical human‐to‐machine interaction. However, a system with the ability to use oral speech, which is the natural form of communication between humans instead of mechanical communication systems, can be more practical for normal students and even a necessity for arm‐disabled students who cannot use their arms to handle traditional education tools like pens and notebooks. In this paper, we present a speech recognition system that allows arm‐disabled students to control computers by voice as a helping tool in the educational process. When a student speaks through a microphone, the speech is divided into isolated words which are compared with a predefined database of huge number of spoken words to find a match. After that, each recognized word is translated into its related tasks which will be performed by the computer like opening a teaching application or renaming a file. The speech recognition process discussed in this paper involves two separate approaches; the first approach is based on double thresholds voice activity detection and improved Mel‐frequency cepstral coefficients (MFCC), while the second approach is based on discrete wavelet transform along with modified MFCC algorithm. Utilizing the best values for all parameters in just mentioned techniques, our proposed system achieved a recognition rate of 98.7% using the first approach, and 98.86% using the second approach of which is better in ratio than the first one but slower in processing which is a critical point for a real time system. Both proposed approaches were compared with other relevant approaches and their recognition rates were noticeably higher.

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“…Owing to the easiness of digital duplication and tampering, data security becomes a challenging matter for most of researchers nowadays. One of great interest solutions is the use of information hiding which encompasses many sub-disciplines, among them steganography and watermarking [7][8][9][10][11][12].…”

Section: Introductionmentioning

confidence: 99%

A New Image Steganographic Approach for Secure Communication Based on LSB Replacement Method

Darabkh¹,

Jafar

Al‐Zubi

et al. 2015

ITC

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With the development of internet technologies and communication services, message transmissions over the internet still have to face all kinds of security problems. Hence, how to protect secret messages during transmission becomes a challenging issue for most of current researchers. It is worth mentioning that many applications in computer science and other related fields rely on steganography and watermarking techniques to ensure information safety during communication. Unlike cryptography that focuses on scrambling the secret message so that it cannot be understood, the main objective of steganography and watermarking is to communicate securely in such a way that the hidden data are not visible to the observer. In other words, it seeks for the imperceptibility of stego-images quality to an unintended party through embedding efficiently the secret message in a digital media such as image, video, or audio. In this paper, we propose a new steganographic method to embed the secret data inside a cover image based on least-significant-bit (LSB) replacement method. The embedding process predominantly concentrates on distributing the secret message inside one share of a color image to appear like a 3D geometric shape that is constructed according to well-analyzed geometric equations. The dimensions of the geometric shape are determined pursuant to the size of secret message. Data distribution process makes our method to be of a great interest as of being so difficult for the hackers or intruders to reconstruct the shape from stego-images, thereby the security is improved. Furthermore, we compare the performance of our approach with two other relevant approaches in terms of peak signal-to-noise ratio (PSNR) and payload. The contribution of our approach was immensely impressive.

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Imperceptible and Robust DWT-SVD-Based Digital Audio Watermarking Algorithm

Cited by 24 publications

References 33 publications

A New Steganographic Algorithm Based on Multi Directional PVD and Modified LSB

A New Steganographic Algorithm Based on Multi Directional PVD and Modified LSB

An efficient speech recognition system for arm‐disabled students based on isolated words

A New Image Steganographic Approach for Secure Communication Based on LSB Replacement Method

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