Lightweight Reversible Data Hiding System for Microcontrollers Using Integer Reversible Meixner Transform

IF 2.2 4区 计算机科学 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Mohamed Yamni, Achraf Daoui, Chakir El-Kasri, May Almousa, Ali Abdullah S. AlQahtani, Ahmed A. Abd El-Latif
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Abstract

In the realm of secure data communication, reversible data hiding (RDH) has emerged as a promising strategy to ensure both confidentiality and integrity. However, in resource-constrained environments, such as microcontroller platforms, conventional RDH techniques encounter challenges due to factors like minimal memory resources and speed, which restrict the use of microcontrollers for implementing image RDH. Addressing this gap, we introduce a lightweight RDH system tailored for microcontrollers, employing the integer reversible Meixner transform (IRMMT), a variant of the Meixner moment transform optimised for integer operations. Unlike its floating-point version, IRMMT ensures complete preservation of data, even with the use of low finite precision arithmetic, thereby demonstrating its efficacy for lossless applications and its suitability for resource-limited embedded devices. Leveraging IRMMT, we propose a novel RDH algorithm designed to operate efficiently within the limitations of microcontroller resources while preserving image quality and integrity. The algorithm is implemented and evaluated on the Arduino Due board, which features the AT91SAM3X8E 32-bit ARM Cortex-M3 microcontroller, demonstrating the feasibility and effectiveness of the proposed approach in enabling secure wireless data communication. Through theoretical formulation, algorithm design and embedded implementation, this paper contributes to advancing RDH methodologies for resource-limited embedded devices.

Abstract Image

Abstract Image

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基于整数可逆Meixner变换的微控制器轻量级可逆数据隐藏系统
在安全数据通信领域,可逆数据隐藏(RDH)已成为确保机密性和完整性的一种很有前途的策略。然而,在资源受限的环境中,如微控制器平台,传统的RDH技术遇到了挑战,因为诸如最小内存资源和速度等因素限制了微控制器实现图像RDH的使用。为了解决这一差距,我们引入了一种为微控制器量身定制的轻量级RDH系统,采用整数可逆梅克纳变换(IRMMT),这是针对整数操作优化的梅克纳矩变换的一种变体。与浮点版本不同,IRMMT即使使用低有限精度算法,也能确保数据的完整保存,从而证明其对无损应用程序的有效性以及对资源有限的嵌入式设备的适用性。利用IRMMT,我们提出了一种新的RDH算法,旨在在微控制器资源的限制下有效运行,同时保持图像质量和完整性。该算法在采用AT91SAM3X8E 32位ARM Cortex-M3微控制器的Arduino Due板上进行了实现和评估,证明了该方法在实现安全无线数据通信方面的可行性和有效性。本文通过理论构建、算法设计和嵌入式实现,促进了资源有限的嵌入式设备RDH方法的发展。
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来源期刊
IET Image Processing
IET Image Processing 工程技术-工程:电子与电气
CiteScore
5.40
自引率
8.70%
发文量
282
审稿时长
6 months
期刊介绍: The IET Image Processing journal encompasses research areas related to the generation, processing and communication of visual information. The focus of the journal is the coverage of the latest research results in image and video processing, including image generation and display, enhancement and restoration, segmentation, colour and texture analysis, coding and communication, implementations and architectures as well as innovative applications. Principal topics include: Generation and Display - Imaging sensors and acquisition systems, illumination, sampling and scanning, quantization, colour reproduction, image rendering, display and printing systems, evaluation of image quality. Processing and Analysis - Image enhancement, restoration, segmentation, registration, multispectral, colour and texture processing, multiresolution processing and wavelets, morphological operations, stereoscopic and 3-D processing, motion detection and estimation, video and image sequence processing. Implementations and Architectures - Image and video processing hardware and software, design and construction, architectures and software, neural, adaptive, and fuzzy processing. Coding and Transmission - Image and video compression and coding, compression standards, noise modelling, visual information networks, streamed video. Retrieval and Multimedia - Storage of images and video, database design, image retrieval, video annotation and editing, mixed media incorporating visual information, multimedia systems and applications, image and video watermarking, steganography. Applications - Innovative application of image and video processing technologies to any field, including life sciences, earth sciences, astronomy, document processing and security. Current Special Issue Call for Papers: Evolutionary Computation for Image Processing - https://digital-library.theiet.org/files/IET_IPR_CFP_EC.pdf AI-Powered 3D Vision - https://digital-library.theiet.org/files/IET_IPR_CFP_AIPV.pdf Multidisciplinary advancement of Imaging Technologies: From Medical Diagnostics and Genomics to Cognitive Machine Vision, and Artificial Intelligence - https://digital-library.theiet.org/files/IET_IPR_CFP_IST.pdf Deep Learning for 3D Reconstruction - https://digital-library.theiet.org/files/IET_IPR_CFP_DLR.pdf
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