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检索条件"任意字段=Conference on Image Compression and Encryption Technologies"

共 181 条记录，以下是1-10 订阅

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Enhancing Data Security and Efficiency: A Hybrid Cryptography Approach (AES + ECC) Integrated with Steganography and compression Algortihm 3

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

引用

3rd International conference on Intelligent Data Communication technologies and Internet of Things, IDCIoT 2025

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

ISBN: (纸本)9798331527549

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. © 2025 IEEE.

关键词： Data reliability

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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...

引用

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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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...

引用

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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EnigmaArt: Dual image encryption and compression via Autoencoding and Pixel Conversion 4th

EnigmaArt: Dual Image Encryption and Compression via Autoe...

引用

4th International conference on Advanced Network technologies and Intelligent Computing, ANTIC 2024

作者： Tiwari, Naveen Kumar Rajput, Shyam Singh Yadav, Aditya National Institute of Technology Patna Bihar Patna India Rajkiya Engineering College Kannauj UP Kannauj India

ISBN: (纸本)9783031837890

Securing sensitive visual data is essential in the digital age. Our research presents a sophisticated model of image encryption that combines RNA pixel conversion with an autoencoder. A convolutional neural network (CNN) is used for efficient feature extraction. Convolutional encoding and RNA pixel conversion, which map pixels to RNA sequences (Adenine, Cytosine, Guanine, Uracil) enabling stronger encryption, are the model’s primary innovations. By guaranteeing that every encryption instance is distinct, this dynamic technique strengthens security. Our approach ensures security and picture integrity by demonstrating robust encryption capabilities with minimum reconstruction loss (0.0617), as tested on the MNIST dataset. Furthermore, the encryption procedure is optimized by a fractional order optimizer, FGL_Adam, which incorporates weight decay, learning rate modifications, and a security improvement factor. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Convolutional neural networks

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A Hybrid Approach Using Cryptography and K-Least Significant Bit Steganography Algorithm in Cloud Computing

A Hybrid Approach Using Cryptography and K-Least Significant...

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Advances in Computer Science, Electrical, Electronics, and Communication technologies (CE2CT), International conference on

作者： Anshika Goyal Bhumika Gupta Dept. of Computer Science & Engineering VMSB Uttarakhand Technical University Dehradun India Dept. of Computer Science & Engineering G.B. Pant Institute of Engineering & Technology Pauri India

ISBN: (数字)9798331518578

ISBN: (纸本)9798331518585

The exponential growth of communication technologies has broadened the cloud computing ecosystem horizon to meet main communication needs. However, in-parallel upsurge in online attacks has alarmed industries to ensure optimal data security. The combination of steganography and cryptosystems has been recognized as an enhanced security model for data transfer among the main security systems now in use. In this paper, a hybrid approach using cryptography and K- Least Significant Bit Steganography algorithm in Cloud Computing (HYBC-KLSBS-CC) are proposed. Initially, input text data is retrieved from cloud storage and compressed using Huffman compression Coding (HCC) to reduce data size. The compressed data is then encrypted with a Hybrid Cryptography Algorithm (Hyb-MRFC-ALC), combining Modified Random Fibonacci Cryptography and Asymmetric Lightweight Cryptography to ensure robust encryption. Finally, encrypted data is embedded within an image using the K-Least Significant Bit (KLSB) steganography technique, providing additional layer of security. The proposed method enhances data confidentiality, integrity, and storage efficiency in cloud environments. The proposed HYBC-KLSBS-CC approach attains 26.89%, 29.49% and 18.64% lower PSNR and 26.89%, 29.49% and 18.64% lower MSE when analyzed through existing techniques like data security dependent on cryptography steganography related with OTP procedure and Huffman coding in the cloud environment (CS-OTP-CE), a novel hybrid cryptographic framework for secure data storage in cloud computing: Integrating AES-OTP and RSA with adaptive key management and Time-Limited access control (AES-OTP-RSA-CC) and Crypto-Stegno dependent model for securing medical information on IOMT platform (CS-SMI-IOMT).

关键词： Cloud computing Steganography image coding Computational modeling Data models Encoding Communications technology encryption Cryptography Huffman coding

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image compression and encryption technologies

Image compression and encryption technologies

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image compression and encryption technologies

The proceedings contains 47 papers from the conference on image compression and encryption technologies. The topics discussed include: wavelet-based image compression and content authentication;near-lossless image compression based on integer wavelet transforms;effect of channel coding on data embedding in images;radar signal compression using wavelet transforms;fractal-coding-like lossless binary image compressing method;and digital watermarking based on self-similarity in DWT of image.

关键词： image compression

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Partial encryption of Wavelet Compressed images

Partial Encryption of Wavelet Compressed Images

引用

International conference on Advanced Computer Science Applications and technologies (ACSAT)

作者： AbdulSalam, Ayad A. Univ Baghdad Coll Educ Women Baghdad Iraq

ISBN: (纸本)9780769549590;9781467358323

This work focuses its goal on the reduction in computational cost for image encryption. Bit selection for partial encryption is applied in this paper to show haw can match applications requirements without the overhead of full encryption. The suggested encryption process can be performed during the image compression process, which is based on wavelet transform. The technique is built to reduce the encryption time and keep the compliant with the wavelet format. Histogram of encrypted image used to determine the quality of partial encryption, without the need to compare with original one.

关键词： compression bit selection partial encryption histogram wavelwt transform

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SCAN image compression encryption HARDWARE SYSTEM

SCAN IMAGE COMPRESSION ENCRYPTION HARDWARE SYSTEM

引用

conference on Digital Video compression - Algorithms and technologies 1995

作者： BOURBAKIS, NG BRAUSE, R ALEXOPOULOS, C SUNY BINGHAMTON DEPT EEAAAI LABBINGHAMTONNY 13902

ISBN: (纸本)0819417661

This paper deals with the hardware design of an image compression/encryption scheme called SCAN. The scheme is based on the principles and ideas reflected by the specification of the SCAN language. SCAN is a fractal based context-free language which accesses sequentially the data of a 2D array, by describing and generating a wide range (near (nxn)) of space filling curves (or SCAN patterns) from a short set of simple ones. The SCAN method uses the algorithmic description of each 2D image as SCAN patterns combinations for the compression and encryption of the image data. Note that each SCAN letter or word accesses the image data with a different order (or sequence), thus the application of a variety of SCAN words associated with the compression scheme will produce various compressed versions of the same image. The compressed versions are compared in memory size and the best of them with the smallest size in bits could be used for the image compression/encryption. Note that the encryption of the image data is a result of the great number of possible space filling curves which could be generated by SCAN. Since the software implementation of the SCAN compression/encryption scheme requires some time, the hardware design and implementation of the SCAN scheme is necessary in order to reduce the image compression/encryption time to the real-time one. The development of such an image compression encryption system will have a significant impact on the transmission and storage of images. It will be applicable in multimedia and transmission of images through communication lines.

关键词： SCAN LANGUAGE image compression image DECOMPOSITION SCANNING ALGORITHMS image encryption

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encryption-then-compression techniques: A survey

Encryption-then-compression techniques: A survey

引用

2016 International conference on Control Instrumentation Communication and Computational technologies, ICCICCT 2016

作者： Shunmugan, S. Rani, P. Arockia Jansi Dept of Computer Science and Engineering Manonmaniam Sundaranar University Tirunelveli India

ISBN: (纸本)9781509052400

This paper presents the concept of image compression after encryption and study about the various technologies applied on encryption-then-compression technology. It is also analyses the various secured compression technologies and can be applied to different types of images. This survey addresses the recipe for the secured image compression technologies based on JPEG, JPEG2000 and JPEG XR and presents the pros and cons of those secured image compression technologies. To choose the best technology for the secured image compression some general strategies are suggested based on this survey. The performance of these technologies are analysed by By analying compression Ratio (CR), Peak Signal-to-Noise Ratio (PSNR) and Mean Square Error (MSE). © 2016 IEEE.

关键词： image compression

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Applications of generalized computing in image compression coding

Applications of generalized computing in image compression c...

引用

conference on image compression and encryption technologies

作者： Yao, M Luo, JH Wu, M Zhejiang Univ Dept Comp Hangzhou 310027 Peoples R China

ISBN: (纸本)0819442798

Data compression is one of key techniques in image processing, To begin with, this paper discusses the actuality of image compression coding, and then introduces generalized computing concept, Finally, by introducing knowledge to date compression, this paper presents a kind of intelligent image compression model (IICM) based on generalized computing.

关键词： data compression image processing generalized computing

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