Embedding Rate Research Articles

Dual-image reversible data hiding based on pixel value parity and multiple embedding strategy

Dual-image reversible data hiding (DI-RDH) has attracted a lot of attention for its excellent embedding capability. However, the stego image after data embedding is degraded, which limits its practical application. This paper proposes an innovative DI-RDH method based on pixel value parity (PVP), which prevents influences from the image texture features and ensures that the pixel value deviation between the temporary stego image and the original image is −1, 0, or 1, as it can partially offset the difference introduced when generating the cover image. Such characteristics enable us to establish a multiple embedding strategy (MES), which applies the difference image to embed the secret message, decreasing the number of invalid shifting pixels in the difference histogram to enhance embedding capacity and image quality. The average maximum embedding rate of our method combining PVP and two phases of MES is determined to be 1.37 bpp, corresponding to the theoretical results. The average peak signal-to-noise ratio of our method on the UCID database is increased by at least 2.19 dB for a given ER of 0.5 bpp compared with several state-of-the-art methods.

Controllable synthesis of hydrogen-bonded organic framework encapsulated enzyme for continuous production of chiral hydroxybutyric acid in a two-stage cascade microreactor

Constructing a framework carrier to stabilize protein conformation, induce high embedding efficiency, and acquire low mass-transfer resistance is an urgent issue in the development of immobilized enzymes. Hydrogen-bonded organic frameworks (HOFs) have promising application potential for embedding enzymes. In fact, no metal involvement is required, and HOFs exhibit superior biocompatibility, and free access to substrates in mesoporous channels. Herein, a facile in situ growth approach was proposed for the self-assembly of alcohol dehydrogenase encapsulated in HOF. The micron-scale bio-catalytic composite was rapidly synthesized under mild conditions (aqueous phase and ambient temperature) with a controllable embedding rate. The high crystallinity and periodic arrangement channels of HOF were preserved at a high enzyme encapsulation efficiency of 59%. This bio-composite improved the tolerance of the enzyme to the acid-base environment and retained 81% of its initial activity after five cycles of batch hydrogenation involving NADH coenzyme. Based on this controllably synthesized bio-catalytic material and a common lipase, we further developed a two-stage cascade microchemical system and achieved the continuous production of chiral hydroxybutyric acid (R-3-HBA).

An Image Steganalysis Algorithm Based on Multi-Resolution Feature Fusion

The misuse of image steganography poses significant risks to societal security. Whether images include concealed data is a critical problem of information security. Traditional convolutional layers often fail to adequately capture the global correlation of steganographic features as network depth increases, leading to redundant model parameters and missing key features, thereby weakening steganographic signal detection. To solve the problems of highly covert steganographic algorithms and the weakness of traditional methods, a steganography detection solution using multi-resolution feature fusion is presented. This approach uses a multi-resolution network to increase the interactivity from higher to lower resolution. The results of the experiments confirm that the proposed algorithm allows for a maximum accuracy of 90.56% for the embedding rate of 0.4bpp. The overall results prove that the proposed model achieves higher accuracy and better performance than some leading steganalysis models available when applied to different steganographic algorithms and embedding rate conditions.

An ultra-durable ZIT glass-ceramic composite for immobilization of radioactive mixed lanthanide oxides

Zinc Titanate (ZIT) glass-ceramic composite is a potential candidate waste form for immobilizing radioactive lanthanide oxides due to its relatively high lanthanide embedding capacity and low reaction temperature. However, the composition of lanthanide oxides after electrolytic refining is very complex and the immobilization mechanism of lanthanide oxides by ZIT composite is not clear. Herein, we prepared ZIT-PrEu glass-ceramic waste forms by a solid-phase sintering method at 1200 °C for 4 h using mixed lanthanide oxides of Pr6O11 and Eu2O3 simulated as radioactive waste. The XRD and SEM results show that different mixed lanthanide oxide ratios have very little effect on the composition and microstructure of ZIT-PrEu waste forms with different waste embedding rates. With the increase of waste embedding rate, the density of the ZIT-PrEu glass-ceramic waste forms with different mixed lanthanide oxide ratios first increases and then decreases. When the embedding rate increases to 25 wt.%, the density of ZIT-PrEu waste forms with different mixed lanthanide oxide ratios reaches a maximum. The ZIT-PrEu glass-ceramic waste forms embedded with 25 wt.% waste exhibit excellent chemical durability, and the leaching rates of Pr ion and Eu ion are only 10-6 - 10-7 g·m-2·d-1 after 28 days at 90 °C. Moreover, the phase evolution of the ZIT composites immobilizing lanthanide oxides at different temperatures is revealed by XRD and FT-IR measurements. The lanthanides (Ln) are mainly present in the form of LnPO4 monazite phases.

Novel cinnamon essential oil-bacterial cellulose microcapsules for enhanced preservation of prefabricated meat

Bacterial cellulose, a naturally porous nanomaterial, shows significant potential in encapsulation and sustained-release applications. However, effective methods to construct bacterial cellulose microcapsules (BCM) are lacking, resulting in low embedding rates and poor slow-release effects. This study presents a novel and efficient BCM preparation strategy using mercerization to embed cinnamon essential oil (CEO). The CEO-BCM system was evaluated for its efficacy in preserving prefabricated meat. Results demonstrated that BCM, embedded with CEO through mercerization, achieved an embedding rate of 94.9 % and an average particle size of 63.7 μm. Mercerization transformed BC crystalline into cellulose type II, densifying the BCM structure, while intermolecular hydrogen bonding between BCM and CEO enhanced the stability of CEO-BCM. Release kinetics analysis indicated that CEO release was primarily diffusion-driven (Peppas-Sahlin model) with sustained release performance up to 20 days. Additionally, CEO-BCM exhibited excellent long-term antibacterial (≥81.2 % within 20 days), antioxidant, and thermal stability, effectively extending the shelf life of prefabricated meat products from 5 to 10 days. The developed BCM construction strategy not only addresses the challenges of direct BCM preparation and the limitations in core embedding and controlled release, but also enhances the stability of the CEO. This advancement further expands the application areas of bacterial cellulose (BC), and the prepared CEO-BCM system holds significant potential for food preservation applications.

Correction‐enabled reversible data hiding with pixel repetition for high embedding rate and quality preservation

AbstractA novel correction‐enabled Pixel Repetition (PR)‐based Reversible Data Hiding (RDH) framework, featuring a new embedding scheme is presented. The proposed RDH scheme uses contextually redundant block pixels, generated via PR, in a two‐phase adaptive embedding process, enhancing both image quality and data embedding rates. Specifically, each block encodes 4 bits of data using new mapping conditions that facilitate seed pixel reconstruction from remaining block pixels and provide additional embedding opportunities. Additionally, an innovative post‐embedding error correction technique, based on ‐bit error‐correction, minimises post‐embedding distortion, further improving image quality. This error correction approach augments data embedding robustness, vital for applications like medical imaging, telemedicine, and digital watermarking that requires high embedding capacity with minimum possible distortion. The proposed scheme surpasses existing state‐of‐the‐art methods in embedding rate‐distortion performance, validated through subjective and objective analyses. Furthermore, statistical analysis, including histogram and fragility testing, confirms the scheme's potential for image authentication across diverse multimedia applications. The correction‐enabled RDH with PR offers enhanced embedding capacity and image quality preservation, making it particularly advantageous for applications requiring robust data hiding while maintaining visual fidelity.

Application of Virtual Reality Technology Based on Convolutional Neural Network in Digital Media Art Creation

On the basis of the convolutional neural network based on the absolute value layer, a convolutional neural network based on multi-level parallel is proposed. This model adds shortcut connections between different convolutional layers of the convolutional neural network. The shortcut connections allow the feature map output from the shallower convolutional layers in the network to be directly used as branch information, which is similar to the deep convolutional layer. The feature maps are combined to obtain a feature map with more comprehensive information. By using the features of the shallow convolutional layer and the deep convolutional layer at the same time, the embedded traces it learns are more accurate. The final experimental results prove that the multi-level parallel convolutional neural network has a significant improvement in detection performance compared with the rich model art creation analysis algorithm, even when confronting the HILL art creation algorithm with an embedding rate of 0.4bpp.

Needle-like structure grafted with chemical bond induces high-performance polyformaldehyde-aluminum alloy hybrids

The high-performance polymer-metal hybrids (PMH) have received widespread attention in the automotive field. In this study, needle-like structures were formed on the aluminum alloy (Al) surface by secondary anodizing. Based on that, the Al surface was further silanized. The surface-treated Al was then connected to polyformaldehyde (POM) by ultrasonic-assisted hot pressing molding to fabricate POM-Al hybrids. The source of the bonding strength of POM-Al hybrids has been systematically explained. When the POM embedding rate reached 91.32 % and the interface coexisted with Al-O-Si and Al-O-C bonds, the bonding strength reached 46.89 MPa, representing a 129 % increase against primary anodization. Furthermore, the bonding strength was able to exceed 40 MPa in a salt spray environment and high-temperature conditions. In general, these results can facilitate the development and application of PMH products in practical engineering.

Designing five-dimensional non-degeneracy chaotic system and its application in reversible data hiding

The application of privacy protection techniques combining chaotic systems with data hiding has attracted considerable attention in recent years. However, the existing schemes have been found to be defective in terms of security and embedding capacity. This paper proposes a construction method for a 5-dimensional non-degeneracy chaotic system (5D-NDCS) to address the shortcomings of the previous approach. The 5D-NDCS possesses five positive Lyapunov exponents, and each dimension can generate chaotic sequences with strong randomness. Utilizing the pseudo-random sequence generated by the 5D-NDCS to encrypt the compressed image can enhance the security of the encrypted image. Subsequently, this paper introduces a joint bit-plane compression (JBPC) algorithm, which is based on the chaotic system and pixel value prediction technique. This algorithm effectively utilizes the pixel correlation of the original image to compress the bit sequence sufficiently, thereby reserving the hiding space. Finally, this paper proposes a reversible data hiding in encrypted images (RDHEI) scheme that supports multiple data hiders, based on the JBPC algorithm. The experimental results demonstrate the scheme’s advantages in terms of embedding rate, security, and fault tolerance.

Reinforcement-Learning-Assisted Service Function Chain Embedding Algorithm in Edge Computing Networks

Edge computing networks are critical infrastructures for processing massive data and providing instantaneous services. However, how to efficiently allocate resources in edge computing networks to meet the embedding requirements of service function chains has become an urgent problem. In this paper, we model the resource allocation problem in edge computing networks as a service function chain embedding problem model, aiming to optimize the resource allocation through reinforcement learning algorithms to achieve the goals of low cost, high revenue, and high embedding rate. In this paper, the basic concepts of edge computing network and service function chain are elaborated, and the resource allocation problem is transformed into a service function chain embedding problem by establishing a mathematical model, which provides a foundation for the subsequent algorithm design. In this paper, a service function chain embedding algorithm based on reinforcement learning is designed to gradually optimize the resource allocation decision by simulating the learning process. In order to verify the effectiveness of the algorithm, a series of simulation experiments are conducted in this paper and compared with other algorithms. The experimental results show that the service function chain embedding algorithm based on reinforcement learning proposed in this paper exhibits superior performance in resource allocation. Compared with traditional resource allocation methods, the algorithm achieves significant improvement in terms of low cost, high revenue, and high embedding rate.

A Reversible Data-Hiding Method for Encrypted Images Based on Adaptive Quadtree Partitioning and MSB Prediction

To address the vulnerability of the widely used block permutation and co-XOR (BPCX) encryption algorithm in reversible data-hiding in the encrypted domain (RDH-ED), which is susceptible to known-plaintext attacks (KPAs), and to enhance embedding capacity, we propose a novel technique of reversible data-hiding in encrypted images (RDH-EI). This method incorporates adaptive quadtree partitioning and most significant bit (MSB) prediction. To counteract KPAs, we introduce pixel modulation specifically targeting pixels within blocks of the same level during the encryption phase. During data embedding, we utilize tagging bits to indicate the state of the pixel blocks, capitalizing on pixel redundancy within those blocks to augment embedding capacity. Our experimental results demonstrate that our method not only achieves reversibility and separability but also significantly boosts embedding capacity and method security. Notably, the average embedding rate across the 10,000 images tested stands at 2.4731, surpassing previous methods by 0.2106 and 0.037, respectively.

Optical Characteristics of a New Molecular Complex: "Nafion-Colloidal CdSe/CdS/ZnS Nanocrystals".

Here, the optical properties of the Nafion polymer membrane containing colloidal CdSe/CdS/ZnS nanocrystals embedded by diffusion have been studied. The CdSe/CdS/ZnS nanocrystals have a core/shell/shell appearance. All experiments were carried out at room temperature (22 ± 2) °C. A toluene solution was used to provide mobility to the active sulfone groups of the Nafion membrane and to embed the nanocrystals inside the membrane. The diffusion process of colloidal CdSe/CdS/ZnS nanocrystals into Nafion proton exchange membrane has resulted in a new molecular complex "Nafion-colloidal CdSe/CdS/ZnS nanocrystals". The kinetics of the nanocrystals embedding into the membrane matrix was investigated using luminescence analysis and absorption spectroscopy techniques. The embedding rate of CdSe/CdS/ZnS nanocrystals into the Nafion polymer membrane was approximately 4·10-3 min-1. The presence of new luminescence centers in the membrane was proved independently by laser emission spectroscopy. The luminescence spectrum of the resulting molecular complex contains intensity maxima at wavelengths of 538, 588, 643 and 700 nm. The additional luminescence maximum observed at the 643 nm wavelength was not recorded in the original membrane, solvent or in the spectrum of the semiconductor nanoparticles. The luminescence maximum of the colloidal CdSe/CdS/ZnS nanocrystals was registered at a wavelength of 634 nm. The intensity of the luminescence spectrum of the membrane with embedded nanocrystals was found to be higher than the intensity of the secondary emission peak of the initial nanocrystals, which is important for the practical use of the "Nafion-colloidal nanocrystals" complex in optical systems. The lines contained in the luminescence spectrum of the membrane, which has been in solution with colloidal nanocrystals for a long time, registered upon its drying, show the kinetics of the formation of the molecular complex "Nafion membrane-nanocrystals". Colloidal nanocrystals located in the Nafion matrix represent an analog of a luminescent transducer.

A Hierarchical Authorization Reversible Data Hiding in Encrypted Image Based on Secret Sharing

In the current distributed environment, reversible data hiding in encrypted domain (RDH-ED) cannot grant corresponding privileges according to users’ identity classes. To address this issue, this paper proposes a hierarchical authorization structure embedding scheme based on secret image sharing (SIS) and users’ hierarchical identities. In the first embedding, the polynomial coefficient redundancy generated in the encryption process of the SIS is utilized by the image owner. For the second, the participants are categorized into two parts. One is core users with adaptive difference reservation embedding, and the other is ordinary users with pixel bit replacement embedding. At the time of reconstruction, more than one core user must provide pixel differences, which grants more privileges to core users. The experimental results demonstrate that the average embedding rate (ER) of the test images is 4.3333 bits per pixel (bpp) in the (3, 4) threshold scheme. Additionally, the reconstructed image achieves a PSNR of +∞ and an SSIM of 1. Compared to existing high-performance RDH-ED schemes based on secret sharing, the proposed scheme with a larger ER maintains strong security and reversibility. Moreover, it is also suitable for multiple embeddings involving multilevel participant identities. In conclusion, the results underscore the efficacy of our technique in achieving both security and performance objectives within a complex distributed setting.

Arabic Text Steganography: Literature Survey

The use of strong encryption and hiding techniques is essential for secure digital communication. The aim of this article is to give a thorough study of advanced steganography methods designed especially for embedding information in Arabic text, which may be sensitive in nature and needs to be transmitted securely. This review is focusedon four main criteria; embedding rate, invisibility, robustness against detection, and text quality. We conducted a comprehensive survey of text steganography and examined its distinct characteristics, including the nature of the script, accents, and linguistic rules. Several researchers have utilized these distinct characteristics of Arabic writing for developing a number of techniques for embedding information. This article gives a detailed analysis of the strengths, weaknesses, possible applications, and major challenges. The conclusions of this review can help researchers and practitioners to select an ideal method according to their own needs regarding storage capacity, security, and text quality. Moreover, the article underscores the need for giving priority to Arabic text steganography which has become highly important as the use of hidden communication increases in Arabic-speaking communities, while also preserving the cultural and linguistic integrity

Reversible data hiding in encrypted image based on key-controlled balanced Huffman coding

To achieve privacy protection and effective management in cloud computing, and solve the problem of existing reversible data hiding in encrypted image (RDH-EI) algorithms being unable to resist existing various attacks, an RDH-EI algorithm based on key-controlled balanced Huffman coding (KBHC) is proposed. The novelty lies in KBHC and variable-length bit scrambling. KBHC possesses non-preset, balanced, and key-controlled characteristics, providing the proposed algorithm with high capacity and enhanced security. The non-preset allows coding tables to be adaptively generated based on prediction error maps, resulting in shorter encoded streams for higher embedding capacity. The balanced characteristic is achieved by adjusting the subtrees, so that the balance rate in the encoded stream is 0.014, and can also reach 0.065 for particularly smooth images, achieving uniform distribution of the encoded stream, thereby improving the ability to resist statistical analysis attacks. The random key controls the leaf nodes scrambling in the Huffman tree, which realizes the variability of the encoded stream and avoids the potential security risks caused by timestamp reconstruction, laying the foundation to achieve differential attack security. Variable-length bit scrambling determines the pseudo-random extension length and scrambling sequence by both the encryption key and coding table information, effectively resists brute force attacks and ensures up to 100 % difference rate between scrambling sequences generated in each run. Experimental results demonstrate that compared to several RDH-EI methods, the proposed algorithm achieves higher embedding capacity and security under acceptable complexity. The average embedding rate of three databases reaches 3.897 bpp, and the proposed algorithm effectively resists statistical analysis attacks, COA, KPA, and differential attack.

Tamper Detection and Self-recovery in a Visual Secret Sharing based Security Mechanism for Medical Records.

Medical records contain highly sensitive patient information. These medical records are significant for better research, diagnosis, and treatment. However, ensuring secure medical records storage is paramount to protect patient confidentiality, integrity, and privacy. Conventional methods involve encrypting and storing medical records in third-party clouds. Such storage enables convenient access and remote consultation. This cloud storage poses single-point attack risks and may lead to erroneous diagnoses and treatment. To address this, a novel (n,n)VSS scheme is proposed with data embedding, permutation ordered binary number system, tamper detection, and self-recovery mechanism. This approach enables the reconstruction of medical records even in the case of tampering. The tamper detection algorithm ensures data integrity. Simulation results demonstrate the superiority of proposed method in terms of security and reconstruction quality. Here, security analysis is done by considering attacks such as brute force, differential, and tampering attacks. Similarly, the reconstruction quality is evaluated using various human visual system parameters. The results show that the proposed technique provides a lower bit error rate ( ≈ 0), high average peak signal-to-noise ratio ( ≈ 35 dB), high structured similarity ( ≈ 1), high text embedding rate ( ≈ 0.7 BPP), and lossless reconstruction in the case of attacks.

Anti‐leakage transmission method of high privacy information in electric power communication network based on digital watermarking technology

AbstractA method of transmission of highly confidential information in power communication network based on digital watermarking technology is proposed in order to reduce the leakage risk of power information and achieve the purpose of safe transmission of private information. This method establishes the data topology model of power communication network and connects the data receiving and sending terminals. Digital watermarking technology is used to embed digital watermarking in the information to be transmitted, encrypt the private information, and optimize the DES encryption algorithm to encrypt the information twice, so as to realize the safe transmission of information. The experimental results show that the digital watermark embedding rate, DES encryption rate, DES decryption rate and watermark extraction rate of the proposed method are all above 90 Mbps, and the file transfer time of 3965Byte is less than 5s, leakage risk rate and packet loss rate are 0.0001% and 0.006%, respectively, which effectively protects the security of high privacy information in the power communication network and prevents information leakage.

Reversible Data Hiding in Encrypted Images Based on Preprocessing-Free Variable Threshold Secret Sharing

To solve the limitations of reversible data hiding in encrypted domains (RDH-ED) that cannot be applied to a distributed variable security environment, a novel RDH-ED scheme based on variable threshold image secret sharing (VTSIS) is proposed. Initially, a security vulnerability analysis of existing changing thresholds in a bivariate polynomial-based secret image sharing (TCSIS) method is conducted and validated through experiments. Subsequently, enhancements are made to the VTSIS scheme to rectify the identified security loopholes. During the image encryption process, additional data can be embedded into the redundancy of VTSIS, which results in a large embedding rate and high security. Finally, theoretical analysis and experimental proofs are carried out for the proposed scheme, and the results show that our scheme broadens the application scenarios of RDH-ED. Notably, the scheme eliminates the need for preprocessing and has the advantages of high security, a large embedding rate, and complete reversibility.

Jet milling‐activated direct synthesis of octenyl succinic anhydride modified starch: an analysis of structural and application properties

SummaryThe synthesis of octenyl succinic anhydride‐modified starch was achieved through a fluidised bed activated by jet milling with graded revolution rates of 1200, 1800, 2400, 3000, and 3600 rpm. This study investigated the changes in the structural, physicochemical, and application properties of modified starch after jet milling. The results showed that modified starch can be synthesised using a one‐step jet milling process. The degree of substitution increased with a decrease in the starch particle size, resulting in a rough granule morphology. Structural analysis revealed that crystalline areas were destroyed in the modified starches. In the Fourier‐infrared spectrum, typical peaks appeared at 1724 and 1573 cm−1 upon introduction of the octenyl succinic anhydride group, whereas a new sodium peak appeared in the XPS spectrogram. The 1H‐NMR spectrum indicated that the esterification reaction mainly occurred on OH2 groups. The emulsification properties of the modified starch were significantly enhanced and increased with the crushing strength. The octenyl succinic anhydride‐modified starch has potential as a wall material for microcapsules, with good embedding rate and thermal stability. This novel synthesis method represents an innovative method for the synthesis of OSA‐starches.

Microencapsulation of camellia seed oil by spray drying with pea protein and maltodextrin

The purpose of this study was to extend the shelf life and enhance the oxidative stability of camellia seed oil through microencapsulation. To 2achieve this, we chose pea peptide (PP) and maltodextrin (MD) as the wall materials for microencapsulation and successfully transformed camellia oil into powdered oil using the spray drying method. The preparation conditions were optimized using a univariate method. The preparation conditions were optimized using a univariate method. The best encapsulation effect was achieved when the wall ratio (PP: MD) was 1:1, the wall-to-core ratio was 1.5:1, and the spray drying temperature was 180 °C. The results showed that the embedding rate of camellia seed oil microcapsule (CSOM) could reach 79.69 %, with a particle size below 600 nm. Additionally, the characterization results indicated that the microcapsule products were spherical, with most particles having a smooth surface and no ruptures. CSO was effectively encapsulated within the microcapsules. Furthermore, the oxidative stability of CSOM was superior to that of CSO, and the shelf lives of CSO and CSOM were 35 days and 64 days, respectively. These results demonstrate that microencapsulation technology can effectively extend the shelf life of CSO.