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检索条件"任意字段=Conference on Mathematics of Data/Image Coding, Compression, and Encryption with Applications XII"

共 59 条记录，以下是1-10 订阅

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Complexity Reduction in DAT-Based image Processing

Complexity Reduction in DAT-Based Image Processing

引用

International Scientific and Technical conference on Integrated Computer Technologies in Mechanical Engineering - Synergetic Engineering (ICTM)

作者： Makarichev, Viktor Lukin, Vladimir Brysina, Iryna Natl Aerosp Univ KhAI Chkalov St 17 UA-61070 Kharkiv Ukraine

ISBN: (纸本)9783031614149;9783031614156

The atomic functions-based image processing system (AFIPS) is based on discrete atomic transform (DAT). It provides a combination of image encryption and compression features with a machine learning-oriented data format. Taking into account the current data processing and analysis trends, applying AFIPS is promising. In this paper, a problem of its complexity reduction is considered. The new coding scheme, which ensures a significant decrease in the number of arithmetic operations, is proposed, and its efficiency exploration is given in terms of different indicators. In particular, it is shown that the proposed modification of AFIPS provides a higher compression ratio and, hence, greater memory savings when applying this algorithm with three modes of the DAT procedure: classic, block-splitting, and chroma-subsampling. Also, the suggested improvement reduces the time complexity that is illustrated by processing a satellite image dataset. In addition, the practical aspects of the further applications, including UAV image processing and analysis, are discussed.

关键词： Discrete Atomic Transform Lossy image compression data coding image encryption

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A Novel image encryption and Decoding Approach Based on DNA coding and Arnold's Transformation for IoT applications

A Novel Image Encryption and Decoding Approach Based on DNA ...

引用

2024 International Telecommunications conference, ITC-Egypt 2024

作者： Shaltout, Nawal Abd El-Latif, Ahmed A. Al-Adrousy, Waleed Hammad, Mohamed Ateya, Abdelhamied A. Elmougy, Samir Mansoura University Faculty of Computers and Information Department of Computer Science Mansoura35516 Egypt Prince Sultan University EIAS Data Science Lab College of Computer and Information Sciences Riyadh11586 Saudi Arabia Menoufia University Faculty of Science Department of Mathematics and Computer Science 32511 Egypt Menoufia University Faculty of Computers and Information Department of Information Technology Shibin El Kom32511 Egypt Zagazig University Department of Electronics and Communications Engineering Zagazig Egypt

ISBN: (纸本)9798350351408

Nowadays, the Internet of Things (IoT) is significantly utilized by an extensive range of applications that lead to the enhancement of different aspects of defense and military capabilities. In IoT, a wide range of smart devices that can communicate with each other are connected through it. Therefore, it is essential to protect multimedia data, especially images with an encryption approach that offers a sufficient degree of security in military applications. Hence, this paper introduces an effective scheme for image encryption and decoding relying on Arnold's transformation DNA coding. It proposes a new pseudo-random number generation PRNG using the Sine-Logistic map and Duffing map called SLDM. The encryption method involves three phases: 1- Key generation and PRNG. 2- confusion phase using the Arnold transformation method. 3- diffusion using DNA rules and operations. The results based on the USC-SIPI dataset, show that the suggested scheme is sufficiently resistant to every kind of attack. Furthermore, the suggested method yields NPCR scores of around 99.62% and UACI scores of approximately 33.48%. Due to its low complexity, it has a great deal of potential for safe and real-time picture applications. © 2024 IEEE.

关键词： Random number generation

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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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Privacy-Assured and Multi-Prior Recovered Compressed Sensing for image compression-encryption applications

Privacy-Assured and Multi-Prior Recovered Compressed Sensing...

引用

data compression conference (DCC)

作者： Huang, Hui Xiao, Di Li, Min Chongqing Univ Coll Comp Sci Chongqing 400044 Peoples R China

ISBN: (纸本)9781665478939

Compressed sensing (CS), a popular signal processing technique, can achieve compression and encryption simultaneously. Therefore, it has extension applications in various fields. However, CS is vulnerable to cryptographic attacks for its linear encoding process. To solve this problem, a permutation-diffusion structure is designed and embedded to the CS encoding process. In addition, it can increase the key space while compressing. Since the permutation-diffusion structure reduces the sparseness, superior recovery performance cannot be achieved. Therefore, the multi-prior regularization recovery strategy is designed to improve the recovery performance, where the multi-prior regularization term denotes l(1) norm, total variation (TV) and low rank. The simulation results and analyses demonstrate that the proposed encoding scheme can resist cryptographic attacks, increase the key space while compressing, and achieve 1.54dB PSNR gain on average in comparison with the existing schemes.

关键词： image coding TV Simulation data compression Resists Signal processing Encoding

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Remote Sensing image encryption Algorithm Based on Chaotic System and DNA Sequence

Remote Sensing Image Encryption Algorithm Based on Chaotic S...

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IEEE conference on Industrial Electronics and applications (ICIEA)

作者： Jun Peng Yiyi Luo Shangzhu Jin Biao Mou Chenxi Li Wei Chen College of Mathematics Physics and Data Science Chongqing University of Science and Technology Chongqing China Research Institute of Intelligent Mathematics and Autonomous AI (RI-IM.AI*) CQUST Chongqing China College of Intelligent Technology and Engineering Chongqing University of Science and Technology Chongqing China Informatization Office Chongqing University of Science and Technology Chongqing China

ISBN: (数字)9798350360868

ISBN: (纸本)9798350360875

Currently, the security of satellite remote sensing images is a research hotspot of information security, most of the image encryption algorithms are the whole image for encryption, but only a part of the data in a picture may be important, and encrypting the whole image is not only high complexity but also low efficiency. herefore, this paper proposes a selective encryption algorithm based on chaotic systems and DNA sequences, which encrypts only the important regions of an image. In this paper, we first use the improved deep learning target detection algorithm YOLOV8 to identify the region to be encrypted, and then design an encryption method for the region of interest (ROI) of remote sensing images by combining DNA coding, Logistic mapping and Chen system, and analyze the security. The results show that the algorithm has good encryption characteristics and strong anti-attack ability, and can be used for target detection image encryption.

关键词： image coding Satellites Target recognition DNA Object detection Resists Aerospace electronics

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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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Efficient Encodings for Privacy-Preserving data Storage and Transmission

Efficient Encodings for Privacy-Preserving Data Storage and ...

引用

IEEE International conference on Big data

作者： Arghya Kusum Das M. Oguzhan Kulekci Sharma V. Thankachan Department of Computer Science University of Alaska Fairbanks Fairbanks AL USA Department of Computer Science Indiana University Bloomington Bloomington IN USA Department of Computer Science North Carolina State University Raleigh NC USA

ISBN: (数字)9798350362480

ISBN: (纸本)9798350362497

Secure and privacy-preserving storage of digital data typically requires encrypting it, where the retrieval will man-date its decryption. The overhead of these encryption/decryption requirements introduce some latency, which might be limiting user experience on massive volumes for real-time applications. Reducing this computational load have been studied previously by using lightweight algorithms or selective/partial encryption schemes. In this work, we propose using a recently introduced privacy-preserving coding method [1] (COCOON’2023) to reduce this load and observe that the number of encryption/decryption operations can be reduced by more than 75%, which can be a decent relief especially for real-world applications. We particularly consider privacy requirements of some applications on multimedia data, most typically images and videos.

关键词： data privacy image coding Transform coding Streaming media Video compression Encoding User experience encryption Secure storage Videos

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Proceedings - DCC 2022: 2022 data compression conference

Proceedings - DCC 2022: 2022 Data Compression Conference

引用

2022 data compression conference, DCC 2022

ISBN: (纸本)9781665478939

The proceedings contain 86 papers. The topics discussed include: synergies between in-loop and out-of-loop mapping for HDR-PQ content;beyond keypoint coding: temporal evolution inference with compact feature representation for talking face video compression;improved deep image compression with joint optimization of cross channel context model and generalized loop filter;a smart reference picture resampling approach for VVC;computing matching statistics on repetitive texts;compact representation of interval graphs of bounded degree and chromatic number;privacy-assured and multi-prior recovered compressed sensing for image compression-encryption applications;compressing cipher images by using semi-tensor product compressed sensing and pre-mapping;an edge aware motion modeling technique leveraging on the discrete cosine basis oriented motion model and frame super resolution;stochastic model of block segmentation based on improper quadtree and optimal code under the bayes criterion;and entropy modeling via gaussian process regression for learned image compression.

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A Novel image encryption and Decoding Approach Based on DNA coding and Arnold's Transformation for IoT applications

A Novel Image Encryption and Decoding Approach Based on DNA ...

引用

Telecommunications conference (ITC-Egypt), International

作者： Nawal Shaltout Ahmed A. Abd El-Latif Waleed Al-Adrousy Mohamed Hammad Abdelhamied A. Ateya Samir Elmougy Department of Computer Science Faculty of Computers and Information Mansoura University Mansoura Egypt EIAS Data Science Lab College of Computer and Information Sciences Prince Sultan University Riyadh Saudi Arabia Department of Mathematics and Computer Science Faculty of Science Menoufia University Egypt Department of Information Technology Faculty of Computers and Information Menoufia University Shibin El Kom Egypt Department of Electronics and Communications Engineering Zagazig University Zagazig Egypt

ISBN: (数字)9798350351408

ISBN: (纸本)9798350351415

关键词： Resistance image coding Chaotic communication DNA encryption Decoding Telecommunications

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Video motion and Decryption. A Comparative Study for Compressed Videos

Video motion and Decryption. A Comparative Study for Compres...

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Workshops on image Processing Theory, Tools and applications, IPTA

作者： Anastasiia Voitenko Mourad Oussalah Faculty of ITEE Centre for Machine Vision and Signal Processing University of Oulu Oulu Finland

ISBN: (数字)9798331541842

ISBN: (纸本)9798331541859

Transmission of video data is known to cause high privacy leak risk due to effect of data compression rates and disparate standards, which challenge encryption/decryption methods. This paper presents a comparison of AES cipher, Arnold Cat chaotic map and Logistic chaotic map in the context of various video motion types (slow, medium and fast). The study aims to distinguish the video motion types according to decryption result. For this purpose, several performance metrics were tested, which include unified averaged changed intensity (UACI), number of changing pixel rate, peak signal-to-noise ratio, correlation coefficient (CC) and histogram of intensity. A simulation setting is devised where each video undergoes encryption phase, followed by lossy compression using discrete cosine transform and followed by image decryption phase. Simulation results demonstrate that AES and Logistic chaotic map present relatively close performance outperformance that of Arnold cat map. On the other hand, correlation coefficient appears to be the only performance metric that presents interesting capabilities to distinguish slow-motion video from medium and fast-motion types.

关键词： Measurement Correlation coefficient Histograms image coding PSNR Video compression encryption Discrete cosine transforms Standards Logistics

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