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Proceedings of SPIE - The International Society for Optical Engineering 2009年 7444卷 ix-xi页

作者： Schmalz, Mark S. Ritter, Gerhard X. CBarrera, Junior Astola, Jaakko T.

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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...

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...

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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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mathematics of data/image coding, compression, and encryption with applications xii

Mathematics of Data/Image Coding, Compression, and Encryptio...

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mathematics of data/image coding, compression, and encryption with applications xii

ISBN: (纸本)9780819482952

The proceedings contain 26 papers. The topics discussed include: object/image relations in full and weak perspective and 3D reconstruction;the design of wavelets for limited-angle tomographic hyperspectral imaging systems;an overview of view-based 2D/3D indexing methods;image algebra Matlab language version 2.3 for image processing and compression research;a comparison study between Wiener and adaptive state estimation (STAP-ASE) algorithms for space time adaptive radar processing;information theoretic analysis of edge detection in visual communication;combination of the sensitivity in EM field and the optimum nonlinear interpolation approximation as a favorable means of CAD of composite meta-materials;3D object recognition with photon-counting integral imaging using independent component analysis;and decision tree classifier for character recognition combining support vector machines and artificial neural networks.

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Combined data encryption and compression using chaos functions

Combined data encryption and compression using chaos functio...

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7th conference on mathematics of data/image coding, compression, and encryption

作者： Bose, R Pathak, S Indian Inst Technol Dept Elect Engn New Delhi 110016 India

ISBN: (纸本)0819454990

Past research in the field of cryptography has not given much consideration to arithmetic coding as a feasible encryption technique, with studies proving compression-specific arithmetic. coding to be largely unsuitable for encryption. Nevertheless, adaptive modelling, which offers a huge model, variable in structure, and as completely as possible a function of the entire text that has been transmitted since the time the model was initialised, is a suitable candidate for a possible encryption-compression combine. The focus of the work presented in this paper has been to incorporate recent results of chaos theory, proven to be cryptographically secure, into arithmetic coding, to devise a convenient method to make the structure of the model unpredictable and variable in nature, and yet to retain, as far as is possible, statistical harmony, so that compression is possible. A chaos-based adaptive arithmetic coding-encryption technique has been designed, developed and tested and its implementation has been discussed. For typical text files, the proposed encoder gives compression between 67.5% and 70.5%, the zero-order compression suffering by about 6% due to encryption, and is not susceptible to previously carried out attacks on arithmetic coding algorithms.

关键词： symmetric key cryptography variable model arithmetic coding chaos compression encryption

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Implementation IDEA algorithm for image encryption

Implementation IDEA algorithm for image encryption

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conference on mathematics and applications of data/image coding, compression, and encryption III

作者： Dang, PP Chau, PM Univ Calif San Diego Dept Elect & Comp Engn La Jolla CA 92093 USA

ISBN: (纸本)0819437670

In this paper, we present an implementation of the IDEA algorithm for image encryption. The image encryption is incorporated into the compression algorithm for transmission over a data network, in the proposed method, Embedded Wavelet Zero-tree coding is used for image compression. Experimental results show that our proposed scheme enhances data security and reduces the network bandwidth required for video transmissions. A software implementation and system architecture for hardware implementation of the IDEA image encryption algorithm based on Field Programmable Gate Array (FPGA) technology are presented in this paper.

关键词： image encryption encryption decryption IDEA FPGA reconfigurable processor

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A Fast, Efficiency-Preserving System for Simultaneous compression & encryption

A Fast, Efficiency-Preserving System for Simultaneous Compre...

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conference on Mobile Multimedia/image Processing, Security, and applications 2011

作者： Metzler, Richard E. L. Agaian, Sos S. Univ Texas San Antonio Dept Elect & Comp Engn San Antonio TX 78249 USA

ISBN: (纸本)9780819486370

Methods for embedment of stream cipher rules into compressive Elias-type entropy coders are presented. Such systems have the ability to simultaneously compress and encrypt input data;thereby providing a fast and secure means for data compression. Procedures for maintaining compressive performance are articulated with focus on further compression optimizations. Furthermore, a novel method is proposed which exploits the compression process to hide cipherstream information in the case of a known plaintext attack. Simulations were performed on images from a variety of classes in order to grade and compare the compressive and computational costs of the novel system relative to traditional compression-followed-by-encryption methods.

关键词： compression encryption stream cipher security arithmetic coding range coding Elias coding concryption

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data encryption scheme with extended artithmetic coding

Data encryption scheme with extended artithmetic coding

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4th conference on mathematics of image and data coding, compression, and encryption

作者： Ishibashi, H Tanaka, K Shinshu Univ Fac Engn Nagano 3808553 Japan

ISBN: (纸本)0819441899

In this work, we extend arithmetic coding and present a data encryption scheme that achieves data compression and data security at the same time. This scheme is based on a chaotic dynamics, which makes use of the fact that the decoding process of arithmetic coding scheme can be considered as the repetition of Bernoulli shift map. data encryption is achieved by controlling the piecewise linear maps by a secret key in three kinds of approach: (i) perturbation method, (ii) switching method, and (iii) source extension method. Experimental results show that the obtained arithmetic codes for a message are randomly distributed on the mapping domain [0,1) by using different keys without seriously deteriorating the compression ratio, and the transition of the orbits in the domain [0,1) is similar to the chaotic dynamics.

关键词： arithmetic coding data encryption data compression chaotic dynamical system pieceivise linear map

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Secure chaotic dual encryption scheme for H.264/AVC video conferencing protection

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IET image PROCESSING 2018年第1期12卷 42-52页

作者： Khlif, Naziha Masmoudi, Atef Kammoun, Fahmi Masmoudi, Nouri Sfax Univ Dept Elect Natl Engn Sch Sfax Lab Elect & Informat Technol Rd Soukra Km 3-5BP 3038 Sfax Tunisia

This study presents a chaos-based crypto-compression scheme to protect the H.264 advanced video coding (AVC) used for the applications of video conference. To this end, a selective encryption approach was adopted. The authors proposed to encrypt the inter-prediction, the intra-prediction and the context adaptive variable length coding. The format compliance and compression ratio are conserved. Their encryption method is based on two piecewise linear chaotic maps for pseudo-random bit generators. The first is considered as a decision module to choose either to encrypt or not, whereas the second is used for the encryption. The proposed encryption techniques were developed and discussed, and their experimental results indicate that the scheme is secure and very efficient according to the computing times. Moreover, it is suitable for real-time application and convenient for all the H.264/AVC profiles or even with other video compression standards.

关键词： chaotic communication video coding cryptography variable length codes data compression data protection adaptive codes secure chaotic dual encryption scheme H 264 AVC video conferencing protection chaos-based crypto-compression scheme advanced video coding protection selective encryption approach context adaptive variable length coding inter-prediction encryption intra-prediction encryption format compliance compression ratio piecewise linear chaotic maps pseudorandom bit generators decision module video compression standards

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Autosophy data/image compression and encryption

Autosophy data/image compression and encryption

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7th conference on mathematics of data/image coding, compression, and encryption

作者： Holtz, K Holtz, E Kalienky, D Autosophy San Francisco CA 94108 USA

ISBN: (纸本)0819454990

Multimedia data may be transmitted or stored either according to the classical Shannon information theory or according to the newer Autosophy information theory. Autosophy algorithms combine very high "lossless" data and image compression with virtually unbreakable "codebook" encryption. Shannon's theory treats all data items as "quantities", which are converted into binary digits (bit), for transmission in meaningless bit streams. Only "lossy" data compression is possible. A new "Autosophy" theory was developed by Klaus Holtz in 1974 to explain the functioning of natural self-assembling structures, such as chemical crystals or living trees. The same processes can also be used for growing self-assembling data structures, which grow like data crystals or data trees in electronic memories. This provides true mathematical learning algorithms, according to a new Autosophy information theory. Information in essence is only that which can be perceived and which is not already known by the receiver. The transmission bit rates are dependent on the data content only. applications already include the V.42bis compression standard in modems, the gif and tif formats for lossless image compression, and Autosophy Internet television. A new 64bit data format could make all future communications compatible and solve the Internet's Quality of Service (QoS) problems.

关键词： autosophy information theory data compression image compression encryption Internet video quality of service (QoS)

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