scholarly journals Fusion of Watermarking and Steganography for Protecting Image Ownership

2022 ◽  
pp. 152-164
Author(s):  
Eimad Abdu Abusham ◽  
Aiysha Ali Majid Al-Marzouqi ◽  
Mahmood Al-Bahri ◽  
Maryam G. Aljabri
Keyword(s):  
Digital Images ◽  
Image Watermarking ◽  
Secret Message ◽  
The Internet ◽  
Significant Protection ◽  
Stego Image ◽  
New Techniques ◽  
Lsb Technique ◽  
Work First ◽  
Over Time

The use of digital images has become very common because of the rapid increase of the internet over time. Moving digital images over the internet is easy, but keeping ownership is complex, and serious issues have emerged. Forgery, fraud, and pirating of this content are rising. Different techniques used to protect images, like watermarking and steganography, but these methods are not enough toprotect. So, providing new techniques is essential for protecting image ownership. We have proposed a fusion method of steganography and watermarking in this work. First, the secret message is encoded within the original image using the LSB technique to obtain the stego image. Secondly, the watermarking process is applied on the stego image using text watermarking or image watermarking to provide stego-watermarked-image. The proposed fusion watermarking and steganography method is very useful for protecting image ownership over insecure communication channels. An attacker cannot get the desired watermarked image from the stego-watermarked-image without knowing the secret message hiding inside it using the LSB technique. The proposed method is efficient, simple and secure; it provides significant protection for image ownership.

Secure Data Transfer Using Image Steganography

2021 ◽  
Vol 9 (VIII) ◽  
pp. 175-180
Author(s):  
Nisha Manral
Keyword(s):  
Data Transfer ◽  
Digital Images ◽  
Image Steganography ◽  
Secret Message ◽  
The Internet ◽  
Secret Information ◽  
File Formats ◽  
Secure Data ◽  
Other Information ◽  
Weak Points

Steganography is the art of hiding the fact that communication is taking place, by hiding information in other information. Many different carrier file formats can be used, but digital images are the most popular because of their frequency on the Internet. For hiding secret information in images, there exists a large variety of steganographic techniques some are more complex than others and all of them have respective strong and weak points. Different applications have different requirements of the steganography technique used. For example, some applications may require absolute invisibility of the secret information, while others require a larger secret message to be hidden. This paper intends to give an overview of image steganography, its uses and techniques. It also attempts to identify the requirements of a good steganographic algorithm and briefly reflects on which steganographic techniques are more suitable for which applications.

scholarly journals High-Capacity Image Steganography Algorithm Based on Image Style Transfer

2021 ◽  
Vol 2021 ◽  
pp. 1-14
Author(s):  
Xinliang Bi ◽  
Xiaoyuan Yang ◽  
Chao Wang ◽  
Jia Liu
Keyword(s):  
High Capacity ◽  
Image Features ◽  
Image Steganography ◽  
Cover Image ◽  
Secret Message ◽  
The Internet ◽  
Stego Image ◽  
Style Transfer ◽  
Secret Image ◽  
Secret Information

Steganography is a technique for publicly transmitting secret information through a cover. Most of the existing steganography algorithms are based on modifying the cover image, generating a stego image that is very similar to the cover image but has different pixel values, or establishing a mapping relationship between the stego image and the secret message. Attackers will discover the existence of secret communications from these modifications or differences. In order to solve this problem, we propose a steganography algorithm ISTNet based on image style transfer, which can convert a cover image into another stego image with a completely different style. We have improved the decoder so that the secret image features can be fused with style features in a variety of sizes to improve the accuracy of secret image extraction. The algorithm has the functions of image steganography and image style transfer at the same time, and the images it generates are both stego images and stylized images. Attackers will pay more attention to the style transfer side of the algorithm, but it is difficult to find the steganography side. Experiments show that our algorithm effectively increases the steganography capacity from 0.06 bpp to 8 bpp, and the generated stylized images are not significantly different from the stylized images on the Internet.

scholarly journals Information Hiding using LSB Technique based on Developed PSO Algorithm

2018 ◽  
Vol 8 (2) ◽  
pp. 1156 ◽  
Author(s):  
Wisam Abed Shukur ◽  
Khalid Kadhim Jabbar
Keyword(s):  
Information Hiding ◽  
Particle Swarm Optimization Algorithm ◽  
Signal To Noise Ratio ◽  
Pso Algorithm ◽  
Search Space ◽  
Secret Message ◽  
Stego Image ◽  
Carrier Medium ◽  
Lsb Technique ◽  
Lsb Substitution

<p>Generally, The sending process of secret information via the transmission channel or any carrier medium is not secured. For this reason, the techniques of information hiding are needed. Therefore, steganography must take place before transmission. To embed a secret message at optimal positions of the cover image under spatial domain, using the developed particle swarm optimization algorithm (Dev.-PSO) to do that purpose in this paper based on Least Significant Bits (LSB) using LSB substitution. The main aim of (Dev. -PSO) algorithm is determining an optimal paths to reach a required goals in the specified search space based on disposal of them, using (Dev.-PSO) algorithm produces the paths of a required goals with most efficient and speed. An agents population is used in determining process of a required goals at search space for solving of problem. The (Dev.-PSO) algorithm is applied to different images; the number of an image which used in the experiments in this paper is three. For all used images, the Peak Signal to Noise Ratio (PSNR) value is computed. Finally, the PSNR value of the stego-A that obtained from blue sub-band colo is equal (44.87) dB, while the stego-B is equal (44.45) dB, and the PSNR value for the stego-C is (43.97)dB, while the vlue of MSE that obtained from the same color sub-bans is (0.00989), stego-B equal to (0.01869), and stego-C is (0.02041). Furthermore, our proposed method has ability to survive the quality for the stego image befor and after hiding stage or under intended attack that used in the existing paper such as Gaussian noise, and salt &amp; pepper noise.</p>

scholarly journals Enhancing PIGPEN Image Steganography Method by Using Zigzag Scanning

2019 ◽  
pp. 1-10
Author(s):  
A. A. Abdelmgeid ◽  
A. A. Bahgat ◽  
Al-Hussien Seddik Saad ◽  
Maha Mohamed Gomaa
Keyword(s):  
Digital Images ◽  
Signal To Noise Ratio ◽  
Visual Quality ◽  
Image Steganography ◽  
High Peak ◽  
Secret Message ◽  
The Internet ◽  
Signal To Noise ◽  
Art And Science ◽  
File Formats

Steganography is the art and science of writing hidden messages in such a way that no one suspects the existence of the message, a form of security through obscurity. Many different carrier file formats can be used, but digital images are the most popular because of their frequency on the internet. In this paper explains the PIGPEN image steganography technique which modifies the secret message itself not the technique of embedding. This technique represents the secret message characters by two decimal digits only not three decimal digits as ASCII encoding. So, it can save one third of the required space for embedding the message in an image. The PIGPEN technique will be enhanced by using the zigzag scanning to increase the security and achieves higher visual quality as indicated by the high peak signal-to-noise ratio (PSNR) in spite of hiding a large number of secret bits in the image.

Novel Multifold Secured System by Combining Multimodal Mask Steganography and Naive Based Random Visual Cryptography System for Digital Communication

2020 ◽  
Vol 17 (12) ◽  
pp. 5279-5295
Author(s):  
S. Jahnavi ◽  
C. Nandini
Keyword(s):  
Visual Cryptography ◽  
Complete Information ◽  
Cover Image ◽  
Secret Message ◽  
The Internet ◽  
Next Generation ◽  
Least Significant Bit ◽  
Secret Data ◽  
Stego Image ◽  
Digital World

With increase in growth of data and digital threat, demand of securing the data communicated over the internet is an essential play in the digital world. In the vision of digitalizing services with the next generation of security to the sensitive data transmitted over the internet by hiding the existence of the data using next generation cryptography by fusing cryptography techniques is one the major technique adopted. With this the aim in traditional Least Significant Bit (LSB) is one of the widely used technique. Where the secret message or image are placed in the cover image in the least significant bits of RGB Channels resulting in a stego image. But the drawback is, on suspecting the differences in the pixels of original and stegoimage in the secret data embedded can be guessed and extracted by attacker. The Proposed visual crypto-mask steganography method overcomes this drawback and support good payload capacity with multi modal approach of embedding biometrics, resulting in ∞ PSNR. The authenticated person face and fingerprint information is transmitted in a cover image and mask image (magic sheet) using proposed steganography and is combined with Random Visual Crypto Technique. Which results in enhanced and advance visual crypto steganography secured model in communicating sensitive (biometric features) information over the internet. Where the complete information cannot be extracted using only cover image. Mask image (magic sheet) is used along with cover image that reveals the secret data in the receiving end.

Image Watermarking

Cyber Crime ◽  
2013 ◽  
pp. 587-599
Author(s):  
Nikos Tsirakis
Keyword(s):  
Digital Image ◽  
Copyright Protection ◽  
Main Part ◽  
Digital Images ◽  
Image Watermarking ◽  
The Internet ◽  
Digital Image Watermarking ◽  
Future Trends ◽  
Software Products ◽  
Tools And Techniques

This chapter describes image watermarking, the most common and widespread category of media files are images. The evolution of the Internet and the ease by which images can be duplicated and distributed has led to the need for effective copyright protection tools and techniques in order to provide a secure way to the producers and the owners of these media files. These techniques are described below with an introduction to information hiding. Various software products have been introduced with an aim to address these growing concerns; some categories are presented here. The fundamental technique which allows an individual to add hidden copyright notices or other verification messages to digital images is called digital image watermarking and constitutes the main part of the chapter. Finally authors provide future trends and directions of image watermarking.

scholarly journals Data Hiding and Retrieval Method Using LSB Substitution Algorithm

2021 ◽  
pp. 267-279
Author(s):  
Asoke Nath ◽  
Soham Mondal ◽  
Raj Deb ◽  
Akash Das
Keyword(s):  
Public Communication ◽  
Secret Message ◽  
The Internet ◽  
Stego Image ◽  
Substitution Method ◽  
Retrieval Method ◽  
Secret Information ◽  
Other Information ◽  
Weak Points ◽  
Lsb Substitution

Steganography is the art of hiding the fact that communication is taking place, by hiding information in other information. Many different carrier ?le formats can be used, but digital images are the most popular because of their frequency on the Internet. For hiding secret information in images, there exists a large variety of steganography techniques some are more complex than others and all of them have respective strong and weak points. Different applications have different requirements of the steganography technique used. For example, some applications may require absolute invisibility of the secret information, while others require a larger secret message to be hidden. This project hides the message within the image. This project uses LSB Substitution method to hide the secret message inside the image. Sender select the cover image with the secret message ?le (which can be of any format) and hide it into the image, it help to generate the secure stego image. The stego image is sent to the destination with the help of private or public communication network. On the other side the receiver downloads the stego image and using the software retrieve the secret text hidden in the stego image.

Image Watermarking

2009 ◽  
pp. 56-70
Author(s):  
Nikos Tsirakis
Keyword(s):  
Digital Image ◽  
Copyright Protection ◽  
Main Part ◽  
Digital Images ◽  
Image Watermarking ◽  
The Internet ◽  
Digital Image Watermarking ◽  
Future Trends ◽  
Software Products ◽  
Tools And Techniques

This chapter describes image watermarking, the most common and widespread category of media files are images. The evolution of the Internet and the ease by which images can be duplicated and distributed has led to the need for effective copyright protection tools and techniques in order to provide a secure way to the producers and the owners of these media files. These techniques are described below with an introduction to information hiding. Various software products have been introduced with an aim to address these growing concerns; some categories are presented here. The fundamental technique which allows an individual to add hidden copyright notices or other verification messages to digital images is called digital image watermarking and constitutes the main part of the chapter. Finally authors provide future trends and directions of image watermarking.

scholarly journals Image Steganography

2021 ◽  
pp. 337-341
Author(s):  
Sakshi Meshram ◽  
Pragati Nimje ◽  
Apeksha Dhengre ◽  
Tanvi Bingewar ◽  
Gauri Shende ◽  
...  
Keyword(s):  
Digital Images ◽  
Image Steganography ◽  
Secret Message ◽  
The Internet ◽  
Secret Key ◽  
Secret Information ◽  
File Formats ◽  
Other Information ◽  
Weak Points ◽  
Audio Files

Steganography is the art of hiding the fact that communication is taking place, by hiding information in other information. Many different carrier file formats can be used, but digital images are the most popular because of their frequency on the Internet. For hiding secret information in images, there exists a large variety of stenographic techniques some are more complex than others and all of them have respective strong and weak points. Different applications have different requirements of the steganography technique used. For example, some applications may require absolute invisibility of the secret information, while others require a larger secret message to be hidden. This project intends to give an overview of image steganography, its uses and techniques. It also supports steganography in Audio files. For a more secure approach, the project encrypts the message using secret key and then sends it to the receiver. The receiver then decrypts the message to get the original one.

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

2019 ◽  
Vol 9 (6) ◽  
pp. 5218
Author(s):  
Soo Ann Nie ◽  
Ghazali Sulong ◽  
Rozniza Ali ◽  
Andrew Abel
Keyword(s):  
Cover Image ◽  
Secret Message ◽  
Discrete Wavelet ◽  
Receiver Side ◽  
Test Image ◽  
Least Significant Bit ◽  
Stego Image ◽  
Chi Square ◽  
The Common ◽  
Lsb Technique

<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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