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一种基于哈夫曼编码最低有效位的图像隐写技术,该技术使用多级加密和图像的消色差分量。

A Huffman code LSB based image steganography technique using multi-level encryption and achromatic component of an image.

作者信息

Rahman Shahid, Uddin Jamal, Hussain Hameed, Ahmed Aftab, Khan Ayaz Ali, Zakarya Muhammad, Rahman Afzal, Haleem Muhammad

机构信息

Qurtuba University of Science and Information Technology, Peshawar, Pakistan.

University of Buner, Khyber Pakhtunkhwa, Pakistan.

出版信息

Sci Rep. 2023 Aug 30;13(1):14183. doi: 10.1038/s41598-023-41303-1.

Abstract

In the recent couple of years, due to the accelerated popularity of the internet, various organizations such as government offices, military, private companies, etc. use different transferring methods for exchanging their information. The Internet has various benefits and some demerits, but the primary bad mark is security of information transmission over an unreliable network, and widely uses of images. So, Steganography is the state of the art of implanting a message in the cover objects, that nobody can suspect or identify it. Therefore, in the field of cover steganography, it is very critical to track down a mechanism for concealing data by utilizing different blends of compression strategies. Amplifying the payload limit, and robustness, and working on the visual quality are the vital factors of this research to make a reliable mechanism. Different cover steganography research strategies have been recommended, and each adores its benefits and impediments but there is a need to foster some better cover steganography implements to accomplish dependability between the essential model of cover steganography. To handle these issues, in this paper we proposed a method in view of Huffman code, Least Significant Bits (LSB) based cover steganography utilizing Multi-Level Encryption (MLE) and colorless part (HC-LSBIS-MLE-AC) of the picture. It also used different substitution and flicking concepts, MLE, Magic matrix, and achromatic concepts for proving the proficiency, and significance of the method. The algorithm was also statistically investigated based on some Statistical Assessment Metrics (SAM) such as Mean Square Error (MSE), Peak Signal Noise Ratio (PSNR), Normalized Cross Correlation (NCC), Structural Similarity Index Metric (SSIM), etc. and different perspectives. The observational outcomes show the likelihood of the proposed algorithm and the capacity to give unwavering quality between security, payload, perception, computation, and temper protection.

摘要

在最近几年,由于互联网的加速普及,政府机关、军队、私人公司等各类组织使用不同的传输方式来交换信息。互联网有诸多优点也存在一些缺点,但主要的不足之处在于在不可靠网络上信息传输的安全性以及图像的广泛使用。因此,隐写术是一种将消息植入载体对象中且无人能够怀疑或识别的先进技术。所以,在载体隐写术领域,通过利用不同压缩策略的组合来寻找一种隐藏数据的机制至关重要。提高payload极限、增强鲁棒性以及改善视觉质量是本研究构建可靠机制的关键因素。已经提出了不同的载体隐写术研究策略,每种策略都有其优缺点,但需要开发一些更好的载体隐写术工具来在载体隐写术的基本模型之间实现可靠性。为了解决这些问题,在本文中我们提出了一种基于哈夫曼编码、利用多级加密(MLE)和图像无色部分的基于最低有效位(LSB)的载体隐写术方法(HC-LSBIS-MLE-AC)。它还使用了不同的替换和翻转概念、MLE、幻方以及无色概念来证明该方法的有效性和重要性。该算法还基于一些统计评估指标(SAM)如均方误差(MSE)、峰值信噪比(PSNR)、归一化互相关(NCC)、结构相似性指数度量(SSIM)等以及不同视角进行了统计研究。观察结果表明了所提算法的可行性以及在安全性、payload、感知、计算和抗篡改保护之间提供可靠性的能力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2ab2/10469209/caadac7067cf/41598_2023_41303_Fig1_HTML.jpg

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