Security Of Digital Media Research Articles

Enhancing image watermarking efficiency through advanced deep learning: A novel approach with modified Res-Ception blocks and practical applications in modern scenarios

In recent years, digital media has become a prevalent form of information exchange, necessitating robust measures for privacy, data safety, and copyright protection. Image watermarking is one of the tools that can be employed for these tasks. Research on blind image watermarking techniques is lacking, and there is a gap between theoretical findings and practical implementations to address contemporary issues such as photo metadata privacy, AI generated image recognition, etc. The proposed research introduces a revolutionary deep learning-based image watermarking approach in order to address these issues. This scheme is designed to overcome the contemporary challenges related to image watermarking by being blind, efficient and robust. It also has an improved PSNR and beats state-of-the-art in various attacks. The model outperforms existing deep learning frameworks in terms of fidelity. All these are achieved by creating a modified and much more efficient form of Inception Resnet block, coined ResCeption Block, for use in effective learning of watermarking networks. The research also presents an application of watermarking in the identification of AI generated images and proposes a novel and robust algorithm for metadata encryption of digital images and enforce digital media security. Rigorous testing has been performed on benchmark datasets, and comparisons have been done against state-of-the-art and a PSNR of 43.12 dB has been achieved.

Security of Medical Images Using a Key-Based Encryption Algorithm in the RDWT-RSVD Domain

Today, in the era of big data, an increasingly serious problem is the security of digital media in the healthcare domain. Encryption is a popular technique to resolve the security concern of medical data. In the paper, the authors propose a key-based encryption algorithm – namely, SeMIE, designed by RDWT and RSVD for healthcare applications – which can guarantee the security of the medical images. Initially, the image normalisation procedure along with RDWT-RSVD is followed to generate hash value. Here, image normalisation is used to ensure the high resistance against the geometric modifications. Then, a key expansion process is utilised with the hash value for generating the secure keys. Finally, the encryption process uses Feistel structure along with constant substitution-permutation functions to provide sufficient confusion and diffusion of cipher data. Experimental evaluation indicates that the SeMIE algorithm is secure against several attacks. From the simulation findings, it is inferred that the algorithm exhibits improved security compared to existing methods.

Culture shaping and value realization of digital media art under Internet+

This exploration aims to better realize the cultural shaping and the value of digital media art under the background of Internet+. The security of digital media art information dissemination is discussed first. Then, the carrier image generation algorithm under the steganography process and deep learning is analyzed. After the improvement by edge computing (EC) and image steganography technology, the mean square error of carrier image generation algorithm is about 0.2 smaller than the three comparison algorithms, indicating that the optimized steganography technology is more stable. Meanwhile, the peak signal-to-noise ratio of the improved algorithm is between 0.06 and 0.2, and the structural similarity index measure is close to 1. Compared with traditional image steganography algorithm, multi-objective optimization based on genetic algorithm (MO-GA) algorithm improves the invisibility and security of steganography. Furthermore, the genetic algorithm is used to iteratively detect individuals with higher fitness of filtering residuals, to obtain the optimal solution of evolutionary multi-objective optimization problem. Finally, it is concluded that the MO-GA image steganography technology based on EC has advantages in the above three indicators, which improves the information security in the process of culture shaping and value realization of digital media.

Robust and Secure Watermarking for Propagation of Digital Multimedia by Paillier Homomorphic Cryptosystem With Arnold Transformation

Sharing of digital media over internet is becoming easier due to content authentication and security provided by digital watermarking. It also locates application in other fields like copyright protection, tele-medicine, military, tamper detection, and many more. This paper represents the robust watermarking approach using Paillier homomorphic cryptosystem with Arnold transformation. In this, the watermarking system is primarily prepared at an encrypted DWT-DCT domain. Cryptosystem is exploited at this time to encrypt the original media. For more security of multimedia content, the watermark image is scrambled through Arnold scrambling technique. The embedding process is done here to produce the encrypted watermark image followed by the encryption process. At recovery phase, decryption of encrypted watermark image to get the original and watermark image is done. The experimental result has shown that watermarking method is more robust and offers the security of digital media.

Ransomware Threat, Attack, Prevention and Cure on Window Platform

With the advancement of digitization in every domain, the dependency of individuals on these digitized softwares has also increased. Although these softwares can perform storage, transfer, and security of digital media easily, the threat of hardware/software failure, data tapping and breaching data has always been there. Most of these threats have been introduced by the development of malicious softwares that can provide unauthorized access of machine’s data. This malicious software was termed as malware. The development of any antimalware software to prevent the machine from malware triggers the attacker to generate new malicious operations to infect the machine. Ransomware is, however, a novel and one of the dangerous malware invented recently that restricts the user from accessing their system by locking the operating system files using strong encryption algorithms in the system unless and until a ransom is paid. Seeing the emergence of this ransomware threat and also the increasing usage of digital media, many techniques have been developed to detect the presence of different types of ransomware in different environments. Since the importance of developing techniques to prevent our machines from such attacks is increasing substantially, further research in the respective domain require thorough analysis of all the techniques that have been developed in this regard. This paper introduces the concept of ransomware and how it has been evolved. Along with various methods of handling the ransomware, thorough analysis of techniques that have been developed until now for the prevention and detection of different ransomwares is also performed. The analysis shows that there has been a big improvement in coding techniques utilized by ransomware which will eventually turn out a good detection system that considerably reduces the quantity of victim information loss.

Design of Secure Image Fusion Technique Using Cloud for Privacy-Preserving and Copyright Protection

Nowadays, the use of digital content or digital media is increasing day by day. Therefore, there is a need to protect the digital document from both unauthorized users and authorized users. The digital document should be protected from authorized users who try to redistribute it illegally. Digital watermarking techniques along with cryptography are insufficient to ensure an adequate level of security of digital media. The security of the transferring digital data in the modern world is also a big challenge because there is a high risk of security breaches. In this article, a secure technique of image fusion using hybrid domains (spatial and frequency) for privacy preserving and copyright protection is proposed. The proposed method provides a secure technique for the digital content in cloud environment. Two cloud services are used to develop this work, which eliminates the role of a trusted third party (TTP). First is the design of an infrastructure as a service (IaaS) to store different images with encryption processes to speed up the image fusion process and save storage space. Second, a Platform as a Service (PaaS) is used to enable the digital content to improve computation power and to increase the bandwidth. The prime objective of the proposed scheme is to transfer the digital media between a service provider and customer in a secure way using a hybrid domain along with cloud storage. Imperceptibility and robustness measures are used to calculate the performance of the proposed approach.

Robust Digital Audio Watermarking Based on SVD and Modified Firefly Algorithm

Digital Watermarking is a technology, to facilitate the authentication, copyright protection and Security of digital media. The objective of developing a robust watermarking technique is to incorporate the maximum possible robustness without compromising with the transparency. Singular Value Decomposition (SVD) using Firefly Algorithm provides this objective of an optimal robust watermarking technique. Multiple scaling factors are used to embed the watermark image into the host by multiplying these scaling factors with the Singular Values (SV) of the host audio. Firefly Algorithm is used to optimise the modified host audio to achieve the highest possible robustness and transparency. This approach can significantly increase the quality of watermarked audio and provide more robustness to the embedded watermark against various attacks such as noise, resampling, filtering attacks etc.

A SVD and Modified Firefly Optimization Based Robust Digital Image Watermarking Technique

Digital Watermarking is a technology, to facilitate the authentication, copyright protection and Security of digital media. The objective of developing a robust watermarking technique is to incorporate the maximum possible robustness without compromising with the transparency. Singular Value Decomposition (SVD) using Firefly Algorithm provides this objective of an optimal robust watermarking technique. Multiple scaling factors are used to embed the watermark image into the host by multiplying these scaling factors with the Singular Values (SV) of the host image. Firefly Algorithm is used to optimize the modified host image to achieve the highest possible robustness and transparency. This approach can significantly increase the quality of watermarked image and provide more robustness to the embedded watermark against various attacks such as noise, geometric attacks, filtering attacks etc.

Performance Evaluation of watermarking Schemes to Decide Meaningful Number of Shares

<p>With the growth in digital world, it is becoming more important to find a method to<br />protect the security of digital media. An image watermarking model based on visual secret<br />sharing (VSS) is proposed for protection of ownership. In the embedding phase, the<br />watermark is first divided by VSS into two parts, a hiding watermark and a secret watermark.<br />Then only the hiding watermark is embedded into the original image and the secret<br />watermark is reserved for watermark extracting by the owner. In the extracting phase, the<br />hiding watermark is extracted from the watermarked image first and then directly<br />superimposed on the secret watermark to recover the watermark information. Digital<br />watermarking has been proposed as a possible brick of such protection systems. However,<br />application of watermarking for multimedia content protection in realistic scenarios poses<br />several security issues.<br />A digital watermarking technique is used to generate meaningful shares. The secret image<br />shares are watermarked with different cover images and are transmitted. At the receiving side,<br />the cover images are extracted from the shares and stacked one by one which reveals the secret<br />image progressively. Digital watermarking using visual cryptography provides improved security<br />for encrypting secret images.</p>

An Improved Level of Security for DNA Steganography Using Hyperelliptic Curve Cryptography

Steganography is the art of science of hiding information which is more useful in many social networks, digital media, and printing material. Many hiding algorithms are used to flourish the security level of the recent wireless multimedia system to protect the data from an attacker. This paper describes about existing steganographic based hiding methods using LSB techniques, RSA algorithm, DNA cryptography and DNA steganography, which is used to prevent copying, forgery and unauthorized access of videos, audios and images. Existing hiding methods had demerit of increased key size, computational cost, speed and size of the input. Thus the DNA steganography based Hyperelliptic Curve Cryptography (HECC) is proposed which provides a higher level of security to image file and also assure the digital media security. The proposed HECC based DNA steganography is compared with traditional cryptographic techniques results in 30 and 42 % increased processing time for encryption process and decryption process respectively. Finally, the proposed scheme is compared with other traditional steganographic technique in terms of Mean Square Error, Peak Signal to Noise Ratio (PSNR), embedding capacity. From the simulation results, it is inferred that, the proposed steganographic method has, the less embedding capacity, high MSR and PSNR value compared with other steganographic methods.

Performance Analysis of LSB Based Watermarking for Optimization of PSNR and MSE

This paper shows the synopsis of digital watermarking, an important solution used for ensuring and assisting data authentication, security of digital media and protection of copyright. The Least Significant Bit (LSB) algorithm is used for Image Watermarking. LSB embeds the image into the original image. In this paper, the original image is compared with the watermarked image using two parameters that areMean Square Error (MSE) & Peak Signal to Noise Ratio (PSNR) . Further the image after watermarking is distorted with the Gaussian noise and then watermark is detected. Its analysis is done using MATLAB.

Advances in digital media security and right management

Digital media security and right management is an emerging research area that has attracted the attention of many security computer professionals, law enforcement experts and practitioners. It is a multidisciplinary research area that includes multiple fields, i.e., law, computer science, networking, data mining and criminal justice. We believe that the papers enclosed in this Special Issue will contribute to the development of the digital media security field and will further stimulate research in this area.

Digital Watermarking: Applications, Techniques and Attacks

As information transmission technology progresses, the technology to protect data from unauthorized users also needs to be enhanced. Data can be plagiarized, modified, deleted etc without proper authentication and authorization. Various security mechanisms have evolved that enhances the security of digital media. Each technology to be applied successfully should ensure a balance between the three pillars of security; confidentiality, integrity and availability. Digital watermarking is one such technique. It is a mechanism to monitor the digital media with the help of information residing within the content itself. To put it simply, digital watermarking is embedding of information into source content that can be detected and extracted. Digital watermarking can be applied to media like text, audio, image, video etc. This paper provides a comprehensive idea behind this technology and its usage.

A New Algorithm for Hiding Gray Images Using Blocks

As vast channels for communication, such as the Internet, become more popular, the security of digital media becomes a greater concern. Steganography is one of the techniques used to make detecting the transmitted data over channels more difficult, as hiding a message will reduce the probability of detecting this message. In this paper we suggest a new algorithm of steganography for hiding a gray image in one another. The cover is divided into blocks of equal sizes. Each block size equals the size of the embedding image. The results drawn in this paper with the similarity equals 0.9717 are more improved and give the clear picture of the object.