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On the Classification of Digital images Processed by the DAC Algorithm 17

On the Classification of Digital Images Processed by the DAC...

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17th IEEE International conference on Advanced Trends in Radioelectronics, Telecommunications and Computer Engineering, TCSET 2024

作者： Makarichev, Viktor Lukin, Vladimir Brysina, Iryna National Aerospace University 'KhAI' Dept. of Information-Communication Technologies Kharkiv Ukraine Aerospace University 'KhAI' Dept. of Higher Mathematics and System Analysis National Kharkiv Ukraine

ISBN: (纸本)9798331520564

image classification is an essential part of computer vision. A lot of approaches, in particular, based on applying convolutional neural networks have been proposed. In this paper, we investigate the impact of discrete atomic compression (DAC) on state-of-the-art models. The DAC algorithm ensures low resource intensive image encryption and compression features. Such a combination makes its usage promising, especially taking into account a huge number of digital images and current data protection requirements. DAC has lossy and lossless compression modes. The first one provides a higher compression ratio in combination with distortions. The aim of this research is to answer the following question: how does quality loss, which is introduced by DAC, affect the efficiency of the MobileNetV2, VGG16, VGG19, ResNet50, NASNetMobile and NASNetLarge models? It is shown that the difference between classifying images before and after lossy DAC-compression is insignificant. © 2024 IEEE.

关键词： Convolutional neural networks

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Enhanced Reversible Data Hiding Scheme Based on DCT Coefficients in JPEG compression 7

Enhanced Reversible Data Hiding Scheme Based on DCT Coeffici...

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7th International conference on Circuit Power and Computing technologies, ICCPCT 2024

作者： Sudhakar, S. Dinesh Kumar, T.R. Sivasaravana Babu, S. Chandravel, M. Paul, A. Joshua Karthick Selvam, I. Vel Tech High Tech Dr. Rangarajan Dr. Sakunthala Engineering College Department of Electronics and Communication Engineering Chennai India

ISBN: (纸本)9798350372816

Data hiding approaches in Joint Photographic Experts Group (JPEG) compression that use discrete cosine transform (DCT) coefficients are gaining popularity due to their capacity to integrate more data into JPEG pictures while producing perceptible aesthetic deterioration. Reversible data concealing is critical for safe data transport and secrecy. This study presents a novel reversible information concealing strategy based on DCT coefficients in the overall setting of compressed JPEG data. The procedure starts with the intake of hosting pictures and the image meant for hiding. Using DCT's time domain evaluation, the host picture is examined to discover suitable spots for integrating binary data. A binary threshold is used to choose appropriate brightness ranges for DCT coefficients for smooth and undetectable data implantation. To improve the embedding process, a binary scale operation is performed on the picture intended for data concealment. This scaling not only maximizes the use of available embedding space but also reduces potential visual distortion, resulting in an overall enhancement in the scheme's resilience and profitability. In addition, equalizing the histogram is used to equalize the pixel intensities of the background and concealed pictures, increasing consistency and improving the overall optical level of the assembled image. Chaotic encryption is used throughout the procedure to certify the protection of the embedded informations. The contained binary data may be precisely recovered from the changed DCT values, enabling a complete recuperation of the original host picture as well as the hidden information. The findings show that the approach can accomplish bidirectional data hiding inside JPEG compression, with encrypted pictures visualizing the effective incorporation of hidden data. This project is powered by MATLAB software. © 2024 IEEE.

关键词： Chaos encryption Discrete Cosine Transform (DCT) Histogram Equalization Joint Photographic Experts Group (JPEG) Reversible data hiding (RDH)

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Reversible Data Hiding in Encrypted image Based on Block and Huffman Encoding 2nd

Reversible Data Hiding in Encrypted Image Based on Block and...

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2nd International conference on Security and Information technologies with AI, Internet Computing and Big-data Applications, SITAIBA 2023

作者： Yang, Cheng-Hsing Weng, Chi-Yao Huang, Bo-Han Huang, Wei-Qing Department of Computer Science and Artificial Intelligence National Pingtung University Pingtung900 Taiwan Department of Computer Science and Information Engineering National Chiayi University Chiayi600 Taiwan

ISBN: (纸本)9789819777853

The paper presents a reversible data hiding method with image compression consisting of Huffman coding and block encrypted. In the proposed approach, the image is used to compressed for generating the specified space for hiding the secret messages. When the secret message is extracted from the image, the location of the secret message is obtained through the image information hiding structure and Huffman coding table. After message extracting and image decryption, the image could be recovered to the original image. Experimental results show that our proposed method can achieve image recovering and have better hiding payload than that of related works. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Data hiding Huffman code image encryption Reversible data hiding

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A Deep Learning-Cryptography Hybrid Approach for Ensuring Medical image Confidentiality 3

A Deep Learning-Cryptography Hybrid Approach for Ensuring Me...

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3rd International conference on Electrical, Electronics, Information and Communication technologies, ICEEICT 2024

作者： Chinta, Hitesh Surya Sai, Maganti Akshita Uma Kavitha, C.R. Amrita School of Computing Department of Computer Science & Engineering Amrita Vishwa Vidyapeetham Bengaluru India

ISBN: (纸本)9798350369083

This paper addresses the important need for security measures in the transmission of medical images to ensure the confidentiality of sensitive patient information. Leveraging a synergistic combination of advanced cryptography and steganography techniques, including DNA-based AES encryption and LSB embedding, the proposed system ensures the secure hiding and transmission of patient data. Furthermore, Discrete Wavelet Transform compression is employed to optimize data size while preserving integrity and also applied deep learning models to the HAM10000 dataset. Experimental evaluations prove the superiority and efficacy of the suggested strategy in safeguarding medical data against unauthorized access and ensuring confidentiality. This work contributes significantly to the advancement of secure medical data transmission systems, addressing security concerns and regulatory requirements in the healthcare domain. © 2024 IEEE.

关键词： Steganography

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A Review on Hybrid Cryptography approach with Steganography 12

A Review on Hybrid Cryptography approach with Steganography

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12th International conference on Internet of Everything, Microwave, Embedded, Communication and Networks, IEMECON 2024

作者： Badhan, Akash Malhi, Simarjit Singh Phagwara India

ISBN: (纸本)9798350387315

In today’s era of technology, the unmeasurable data is being exchanged over the internet per second. So, for data transmission or data communication the cloud storage platforms were introduced for robust communication. But on cloud there is always a risk of data breaches due to cyber-attacks. To ensure our data confidentiality and integrity, many technologies have been evolved in past such as cryptography, steganography, digital signature, trademarking, copyright or watermarking etc. But still cloud data is not considered as to be totally secured as attackers are easily cracking the simple cryptography algorithm to fetch our information. For secured data communications researchers introduced multilayered cryptography techniques which consists of hybrid approach for data encryption or decryption. These hybrid data encryption techniques are more secure than traditional cryptography techniques. In this review article, a detailed comparison of different data encryption or decryption techniques has been done to find out the new possible methodologies for secure data communication over cloud. This review article combines both cryptography and steganography for providing security to our data. The study is done to compare all the cryptographic techniques such as RSA, DES, AES and ECC etc., then suggesting some new hybrid methodology merging it with image steganography. Finally, the complete flow of new hybrid methodology of cryptography is mentioned in this article for better efficiency and security. © 2024 IEEE.

关键词： AES Cloud Cryptography Data compression Data Security etc DES ECC LSB RSA Steganography

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Secure Medical Data Transmission In Iot Healthcare: Hybrid encryption, Post-Quantum Cryptography, And Deep Learning-Enhanced Approach

Secure Medical Data Transmission In Iot Healthcare: Hybrid E...

引用

2023 IEEE Global conference on Information technologies and Communications, GCITC 2023

作者： Karthikeyan, D. Amrita School of Engineering Department of Technology Kerala Vallikavu690525 India

ISBN: (纸本)9798350308167

In the realm of IoT healthcare, safeguarding medical data is of paramount importance. This study introduces a comprehensive approach that combines hybrid encryption, post-quantum cryptography, and deep learning techniques for secure medical data transmission. The process begins with data transformation, where collected medical data is converted into binary form and categorized into odd and even positions. Following that, hybrid encryption is used, combining RSA and Two fish for the odd positions, and advanced post-quantum cryptography, specifically NTRU Encrypt, for the even bits. Key selection leverages a hybrid deep learning model, incorporating Bi-LSTM and CNN. The resulting ciphertexts from RSA-Twofish and NTRU Encrypt are merged using secure multiparty computation. In parallel, a region of non-interest extraction employs an optimized U-Net with an anchor box optimized through the Self-Improved Butterfly Optimization Algorithm (SI-BOA). Advanced lattice-based coding further secures the ciphertext, making data inference computationally infeasible. Hyperelliptic curve cryptography is utilized for watermark embedding into medical images to ensure data confidentiality and integrity. image compression via High-Efficiency Video Coding (HEVC) minimizes storage requirements without compromising image quality. Secure cloud storage is employed, complemented by blockchain integration to enhance data integrity, auditability, and access control. At the receiving end, a reverse process is executed to retrieve and decrypt medical data securely. This multifaceted approach offers a robust solution for the IoT-based delivery of healthcare of secure medical data. © 2023 IEEE.

关键词： Bi-LSTM and CNN High-Efficiency Video Coding NTRU Encrypt RSA and two fish Self-Improved Butterfly Optimization Algorithm

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A Privacy-Preserving image Retrieval Scheme with a Mixture of Plain and EtC images 4

A Privacy-Preserving Image Retrieval Scheme with a Mixture o...

引用

4th IEEE Global conference on Life Sciences and technologies, LifeTech 2022

作者： Iida, Kenta Kiya, Hitoshi Tokyo Metropolitan University Tokyo Japan

ISBN: (纸本)9781665419048

In this paper, we propose a novel content-based image-retrieval scheme that allows us to use a mixture of plain images and compressible encrypted ones called "encryption-then-compression (EtC) images."In the proposed scheme, extended SIMPLE descriptors are extracted from EtC images as well as from plain ones, so the mixed use of plain and encrypted images is available for image retrieval. In an experiment, the proposed scheme was demonstrated to have almost the same retrieval performance as that for plain images, even with a mixture of plain and encrypted images. © 2022 IEEE.

关键词： image compression

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IRIS image encryption and Decryption Based Application Using Chaos System and Confusion Technique

引用

International conference on Modeling, Simulation and Optimization, CoMSO 2021

作者： Archana, K. Kumar, Sharath Sashi Gokak, Pradeep P. Pragna, M. Shruthi, M.L.J. Department of Electronics and Communication Engineering PES University RR Campus Karnataka Bangalore India

ISBN: (纸本)9789811908354

In today’s era, Digital image Security is of primary importance and is receiving a huge amount of consideration. Because digital photographs are used in almost all technological fields, confidential data may be present in these images. To maintain the security of these images, several image encryption and decryption techniques have been presented by various authors and academics. We propose a novel approach for IRIS image-based algorithm to perform encryption and decryption in this paper. The image is compressed using the SVD technique, then shuffled based on the confusion pattern. encryption and decryption are performed using a logistic mapping-based chaos technique. The proposed algorithm is compared to several existing techniques in terms of compression ratio, computation time, PSNR, SSIM, and NPCR values. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Cryptography

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Visually Meaningful image encryption Algorithm Based on Parallel Compressive Sensing and Cellular Neural Network 4th

Visually Meaningful Image Encryption Algorithm Based on Para...

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4th International conference on Smart Vehicular Technology, Transportation, Communication and Applications, VTCA 2021

作者： Zhang, Renxiu Jiang, Donghua Ding, Wei Wang, Ya Wu, Yanan Guang, Yerui Ding, Qun Electronic Engineering College Heilongjiang University Harbin150080 China School of Information Engineering Chang’an University Xi’an710064 China

ISBN: (纸本)9789811640384

At present, most image encryption algorithms protect the image by converting the original image into a visually meaningless noise-like image. However, the noise-like image can easily attract the attention of attackers, which increases the risk of being deciphered. Thus, a novel meaningful image encryption algorithm based on parallel compressive sensing and cellular neural network is proposed in this paper. In our scheme, the image is processed by three modules, namely, compression, encryption and hiding. Among them, the compression module is utilized to compress the plain images in parallel. After that, the encryption module converts the compressed image into a meaningless noise-like image by diffusion and scrambling. Finally, the hiding module realizes the visualization of the encrypted image by embedding the encrypted image into a carrier image, which helps reduce the interest of attacker in deciphering cipher images. Experimental results and analysis indicate that the proposed algorithm has satisfactory performance and can effectively protect image information from being leaked under the premise of reducing computational overhead. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Cryptography

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Enhancing Data Security and Efficiency: A Hybrid Cryptography Approach (AES + ECC) Integrated with Steganography and compression Algortihm

Enhancing Data Security and Efficiency: A Hybrid Cryptograph...

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Intelligent Data Communication technologies and Internet of Things (IDCIoT), International conference on

作者： Akash Badhan Simarjit Singh Malhi School of Computer Science and Engineering Lovely Professional University Phagwara India

ISBN: (数字)9798331527549

ISBN: (纸本)9798331527556

The paper presents a novel approach for enhancing data security and efficiency using a hybrid cryptography model that is Advanced encryption Standard (AES) and Elliptic Curve Cryptography (ECC) with steganography and compression techniques to conceal the encrypted data within image file, also compression technique applied to reduce storage usage. The system employs AES for secure data encryption due to its fast encryption time and reliability, while ECC is utilized for encrypting AES keys, benefiting from ECC's lower computational demands and smaller key sizes, which offer secure key exchange. Further to mask the encrypted data, steganography is implemented with inverted least significant bit (LSB) technique. Additionally, the model incorporates the WebP compression algorithm to reduce the overall data size, to facilitate data transmission efficiently without losing data integrity or security. Experimental results of research indicate that the system not only secures data effectively but also preserves the visual quality of digital carrier images. The steganalysis shows the performance of the proposed system performed is quantified by a Peak Signal-to-Noise Ratio (PSNR) of 68.90 and a Mean Squared Error (MSE) OF 0.0083, reflecting minimal and acceptable degradation in image quality. These metrics show the system's capability to maintain excellent image fidelity post encryption and embedding, confirming its reliability for secure communication applications where maintaining data integrity and efficiency is crucial.

关键词： image quality Steganography image coding PSNR Data integrity Elliptic curve cryptography Data models encryption Reliability Data communication

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