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

共 257 条记录，以下是221-230 订阅

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An alternative method for image encryption by using Neural Networks

An alternative method for Image Encryption by using Neural N...

引用

International Conference on Computing and Networking Technology (ICCNT)

作者： Satyanarayana Vollala Department of Computer Science and Engineering International Institute of Information Technology-Naya Raipur India

ISBN: (数字)9798350370249

ISBN: (纸本)9798350370270

Information security has emerged as a requirement and a hot topic in the modern digital world. The world today is surrounded by tonnes of gigabytes of data generated from digital platforms continually streaming through the Internet. In this perspective, computer scientists are strongly pushed to protect information against unscrupulous persons who evolve quickly with technology. The goal of cryptography is to encrypt and decrypt information by using complex mathematical functions and logics. encryption not only for text data, but image, audio, and video kind of data as well. This research focuses on encryption and decryption of images. Different kinds of image encryption algorithms have been developed upto this point. In each algorithm, pixel permutation and pixel substitution steps are performed by using mathematical functions such as Logistic map, Cubic-logistic map, and Arnold map. Various image cryptanalysis works has been going on these conventional image encryption algorithms. In this work, we introduce a new method of encrypting and decrypting images without using any conventional steps like substitution and permutation of image pixels. This proposed method uses a deep learning technique, i.e., convolutional autoencoders. This method targets both compression and encryption so that images can travel with much speed and security over the network.

关键词： Training image coding Computational modeling Scalability Neural networks Streaming media encryption Internet Logic Logistics

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Enhancing Data Privacy through a Secure Data Hiding Approach Integrated with Lossless compression

Enhancing Data Privacy through a Secure Data Hiding Approach...

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International Conference on Inventive Computation technologies (ICICT)

作者： Manjula M Kakoli Bora Shaila S G Skanda N Raj Thilak R Akanksha Kanchireddy Dept of CSE(Data Science) Dayananda Sagar University Bangalore India

ISBN: (数字)9798350359299

ISBN: (纸本)9798350359305

In the contemporary digital landscape, characterized by ubiquitous internet connectivity and broad photo sharing, protecting secret data within photographs is becoming increasingly important. This study describes an innovative technique that combines AES encryption, LSB substitution, and the PNG lossless algorithm. It uses improved image steganography algorithms to improve security and privacy while also providing data resilience during storage and transmission. This hybrid technology improves confidentiality through AES encryption and subtle embedding via LSB, resulting in a robust protection against unwanted access while preserving image data integrity. The paper's results provide a powerful answer to the current issues of protecting private information within digital images, promising to improve existing weaknesses and strengthen data integrity in an era of increased privacy and security concerns.

关键词： Data privacy Steganography image coding Digital images Data integrity encryption Security

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A Robust Medical image Watermarking Approach Based on K-Level Clustering and Asymmetric encryption

A Robust Medical Image Watermarking Approach Based on K-Leve...

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Innovative and Intelligent Information technologies (IC3IT), International Conference on

作者： Mohammed Elhabib Kahla Mounir Beggas Abdelkader Laouid Ahcene Bounceur Mostefa Kara Computer Science Department LIAP Laboratory University of El Oued El Oued Algeria Information & Computer Science Department University of Sharjah Sharjah United Arab Emirates Interdisciplinary Research Center for Intelligent Secure Systems (IRC-ISS) King Fahd University of Petroleum and Minerals (KFUPM) Dhahran Saudi Arabia

ISBN: (数字)9798331541064

ISBN: (纸本)9798331541071

The increasing use of digital medical images in healthcare has raised significant concerns regarding their security, privacy, and integrity during transmission and storage. Unauthorized access, tampering, and image manipulation pose severe risks, potentially leading to compromised diagnoses and patient safety issues. This paper presents a novel asymmetric image encryption and watermarking scheme aimed at securing medical images. The proposed scheme integrates cryptographic encryption and digital watermarking to protect sensitive patient information and ensure the authenticity and integrity of medical images. Specifically, the scheme encrypts patient data using asymmetric encryption and embeds the encrypted data into the medical image as a QR code watermark. This watermark is securely embedded into the least significant bits of the image pixels using a clustering algorithm, ensuring resilience against common image distortions, such as noise, rotation, and compression. Experimental results demonstrate the robustness of the proposed scheme, as evidenced by high PSNR and SSIM values, indicating minimal impact on image quality while ensuring strong security. The proposed method offers an efficient solution for enhancing the security of medical images in healthcare systems.

关键词： image quality Three-dimensional displays Noise Watermarking Medical services Streaming media Robustness encryption Medical diagnostic imaging Videos

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Ownership Authentication and Tamper Detection in Digital images via Zero-Watermarking 45

Ownership Authentication and Tamper Detection in Digital Ima...

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45th International Conference on Telecommunications and Signal Processing (TSP)

作者： Morales-Ortega, Adrian Cedillo-Hernandez, Manuel Inst Politecn Nacl ESIME Culhuacan Secc Estudios Posgrad & Invest Mexico City DF Mexico

ISBN: (数字)9781665469487

ISBN: (纸本)9781665469487

This paper presents a new zero-watermarking algorithm for digital images. The main challenge in every zero-watermarking algorithm is to create a highly capable, reliable, and distortion-free scheme. Unlike other zero-watermarking methods, our method not only focusing on ownership authentication, in the present proposal, we extend the capabilities of the zero-watermarking algorithm to detect tampering in digital images. Using a matching-pixel criterion in spatial domain in conjunction with a data hiding via bit replacing, compression and encryption, the algorithm obtains a zero-watermarking code used to authenticate the ownership and detect a tamper in the image. Experimental results show the effectiveness of the proposed method to detect tampering such as copy-move, copy-paste, text addition, constant average and cropping manipulations, as well as its robustness to prove the ownership authentication against these attacks.

关键词： zero-watermarking ownership authentication tamper detection digital image processing information security

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21st International Conference on Parallel and Distributed Computing, Applications, and technologies, PDCAT 2020

21st International Conference on Parallel and Distributed Co...

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21st International Conference on Parallel and Distributed Computing, Applications, and technologies, PDCAT 2020

ISBN: (纸本)9783030692438

The proceedings contain 35 papers. The special focus in this conference is on Parallel and Distributed Computing, Applications, and technologies. The topics include: On the Non-ergodic Convergence Rate of the Directed Nonsmooth Composite Optimization;6D Pose Estimation Based on the Adaptive Weight of RGB-D Feature;blockchain-Based Secure Outsourcing of Fully Homomorphic encryption Using Hidden Ideal Lattice;multiple Projections Learning for Dimensional Reduction;Preventing DDoS Attacks on Bitcoin Memory Pool by the Dynamic Fee Threshold Mechanism;The Compiler of DFC: A Source Code Converter that Transform the Dataflow Code to the Multi-threaded C Code;online Learning-Based Co-task Dispatching with Function Configuration in Edge Computing;System-Level FPGA Routing for Logic Verification with Time-Division Multiplexing;protein Interresidue Contact Prediction Based on Deep Learning and Massive Features from Multi-sequence Alignment;heterogeneous Software Effort Estimation via Cascaded Adversarial Auto-Encoder;see Fine Color from the Rough Black-and-White;data Aggregation Aware Routing for Distributed Training;a New Integer Programming Model for the File Transfer Scheduling Problem;approximation Algorithms for the General Cluster Routing Problem;maximizing Group Coverage in Social Networks;lightLayers: Parameter Efficient Dense and Convolutional Layers for image Classification;the Hybrid Navigation Method in Face of Dynamic Obstacles;a Relaxed Balanced Lock-Free Binary Search Tree;A Dynamic Parameter Tuning Method for High Performance SpMM;data Caching Based Transfer Optimization in Large Scale Networks;a Novel Distributed Reinforcement Learning Method for Classical Chinese Poetry Generation;second-Order Convolutional Neural Network Based on Cholesky compression Strategy;submodular Maximization with Bounded Marginal Values;the Prize-Collecting k-Steiner Tree Problem.

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image steganography with using QR code and cryptography

Image steganography with using QR code and cryptography

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International Conference on Radioelektronika

作者： Vladimír Hajduk Martin Broda Ondrej Kováč Dušan Levický Dept. of Electronics and Multimedia Communications Dept. of Technologies and Electronics Technical University of Košice Košice Slovak Republic

This paper is focused on proposal of image steganographic method that is able to embedding of encoded secret message using Quick Response Code (QR) code into image data. Discrete Wavelet Transformation (DWT) domain is used for the embedding of QR code, while embedding process is additionally protected by Advanced encryption Standard (AES) cipher algorithm. In addition, typical characteristics of QR code was broken using the encryption, therefore it makes the method more secure. The aim of this paper is design of image steganographic method with high secure level and high non-perceptibility level. The relation between security and capacity of the method was improved by special compression of QR code before the embedding process. Efficiency of the proposed method was measured by Peak Signal-to-Noise Ratio (PSNR) and achieved results were compared with other steganographic tools.

关键词： Discrete wavelet transforms image coding Discrete cosine transforms Error correction codes encryption Quantization (signal)

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An image Transmission System Utilizing Chaos-based Watermarking Technique

An Image Transmission System Utilizing Chaos-based Watermark...

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2013 2nd International Symposium on Quantum,Nano and Micro technologies(ISQNM 2013)

作者： Bisheng Zhan Duan Liu College of Public Administration Huazhong University of Science & Technology School of Optical and Electronic Information Huazhong University of Science & Technology

In this paper,an image transmission system utilizing chaos-based watermarking technique for copyright protection of the image transmission system is demonstrated *** system assures when pirated image is found,the illegal user can be *** user’s message after chaotic encryption as watermark can be embedded into *** results show our system which is used for a web-based image transmission is effective and ***,user’s message can also be extracted from the watermark image under diverse attacks such as some image-processing operations and Joint Photographic Experts Group(JPEG)compression.

关键词： Fingerprinting Watermark Chaotic sequence image transmission Robust

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Robust Blind and Secure Biometric Watermarking Based on Partial Multi-Map Chaotic encryption

Robust Blind and Secure Biometric Watermarking Based on Part...

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New technologies, Mobility and Security (NTMS)

作者： Mohamed S. El-Mahallawy Esam A. Hagras Ahmed Zein Eldin Mohamed Waleed Fakhr Arab Academy for Science Technology and Maritime Transport Cairo Egypt Faculty of Engineering Alexandria University Alexandria Egypt

In this paper, a novel Commutative Watermarking and Partial encryption (CWPE) algorithm using single level 2-Dimension Discrete Wavelet Transform (CWPE 2D DWT) and Multi-Map Orbit Hopping Chaotic System (MMOH-CS) is proposed. The experimental results show that the proposed algorithm is robust against common signal processing attacks such as Salt & Pepper noise, Gaussian noise, Wiener filter, JPEG compression, Resizing and Cropping. The proposed scheme is able to reduce encryption to one quarter of the image information. Statistical analysis, differential analysis and key sensitivity test are performed to estimate the security strength of the proposed algorithm. The results of the security analysis show that the proposed algorithm provides a high security level for real time application.

关键词： Watermarking encryption Signal processing algorithms Discrete wavelet transforms Chaos

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Correlation-based target detection for the Navy's SHARP sensor suite

Correlation-based target detection for the Navy's SHARP sens...

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14th Conference on Automatic Target Recognition

作者： Topiwala, P Casasent, D FastVDO LLC Columbia MD 21046 USA

ISBN: (纸本)0819453498

High resolution, high data rate sensor streams acquired from the Navy Shared Reconnaissance Pod In (SHARP), encompassing unsurpassed resolution EO and IR sensors, covering large tactical areas with detailed surveillance information, will overwhelm current signal processing, and communications capabilities. However, the value and utility of these data streams is dependent on their subsequent exploitation and timely dissemination to appropriate commanders. This situation renders real-time surveillance infeasible without significant advances in each of these areas: signal processing communications, and interpretation. Data compression, encryption, and other related technologies play a vital role here. Here we focus on the target recognition problem from an ultra-high resolution SHARP sensor suite, specifically on the detection in the EO domain. The theory of correlation filters (MACH, MACE, etc.), developed by Casasent and company at CMU has been typically used for classification purposes in the past. Herein we develop innovative low-complexity Correlation Eigen-Filters (CEFs), which have the unique advantage of offering detection capability for one or multiple objects, over a wide range of aspect angles (up to full 360 degrees), using as few as a single filter. In the paper, we develop a theoretical analysis of the CEF filter design, and provide some application examples. Figure I illustrates a case in point: various military aircraft are detected with perfect performance (Pd = 1.0, Pfa = 0) by training CEF filters on examples aircraft in other imagery, and testing on sequestered data. We not only diverge from traditional correlation-filter methods in that we use the correlation filter as a detector, but also to develop a novel feature space in which to do discrimination analysis. figure 1c.

关键词： image filtering Sensors Filtering (signal processing) Edge detection Optical filters Target detection Infrared sensors Detection and tracking algorithms Infrared imaging Palladium

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High capacity steganography technique based on wavelet transform

High capacity steganography technique based on wavelet trans...

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Online International Conference on Green Engineering and technologies (IC-GET)

作者： V. Divya N. Sasirekha Dept. of Electronics and Communication Engineering Sona College of Technology (Autonomous) Salem Tamil Nadu INDIA

ISBN: (纸本)9781509045570

For secured communication of information steganography is preferred, which embeds the information in a cover object. The objective is to propose a modified high-capacity steganography technique based on wavelet transform with acceptable levels of imperceptibility and distortion in the cover image and with high level of overall security. Wavelet transforms are considered to be an ideal domain for image compression and transmission. Among the four sub-bands, the LL sub-band to hide information is analyzed. Haar wavelet is used to hide an image inside the other image. PSNR and MSE are analyzed to determine the performance of the wavelet and an average value of 29.85dB and 0.03 is obtained respectively.

关键词： Histograms Discrete wavelet transforms encryption Computer science

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