利用带模糊逻辑的混合模糊神经网络改进图像隐写术的安全性和弹性

IF 3.7 Q1 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH
Sachin Dhawan , Hemanta Kumar Bhuyan , Subhendu Kumar Pani , Vinayakumar Ravi , Rashmi Gupta , Arun Rana , Alanoud Al Mazroa
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引用次数: 0

摘要

通信网络、数据技术、先进的图书馆以及主要是万维网服务的指数式增长在促进按需检索各类信息方面发挥了关键作用。然而,这一进步也引发了与机密数据传输有关的安全问题。然而,出于显而易见的原因,在通过不安全渠道进行通信时保护这些数据是至关重要的。隐写术的出现为在合适的媒体载体中隐藏机密信息(如图像、音轨、文本文件和视频文件)提供了一种强有力的方法。我们设想了一种基于反向传播学习的新技术。根据所提出的方法,混合模糊神经网络(HFNN)被应用于利用像素值差异和修改方向对秘密数据进行最小有效位替换后得到的输出。通过仿真和测试结果,我们发现所提出的方法实现了安全的隐写和卓越的视觉质量。在实验过程中,我们观察到对于摄影师的秘密图像,拟议技术的 PSNR 值和 MSE 值分别为 61.963895 和 0.041361。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Secure and resilient improved image steganography using hybrid fuzzy neural network with fuzzy logic

The exponential growth in communication networks, data technology, advanced libraries, and mainly World Wide Web services has played a pivotal role in facilitating the retrieval of various types of information as needed. However, this progress has also led to security concerns related to the transmission of confidential data. Nevertheless, safeguarding these data during communication through insecure channels is crucial for obvious reasons. The emergence of steganography offers a robust approach to concealing confidential information, such as images, audio tracks, text files, and video files, in suitable media carriers. A novel technique is envisioned based on back-propagation learning. According to the proposed method, a hybrid fuzzy neural network (HFNN) is applied to the output obtained from the least significant bit substitution of secret data using pixel value differences and exploiting the modification direction. Through simulation and test results, it has been observed that the proposed methodology achieves secure steganography and superior visual quality. During the experiments, we observed that for the secret image of the cameraman, the PSNR & MSE values of the proposed technique are 61.963895 and 0.041361, respectively.

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来源期刊
安全科学与韧性(英文)
安全科学与韧性(英文) Management Science and Operations Research, Safety, Risk, Reliability and Quality, Safety Research
CiteScore
8.70
自引率
0.00%
发文量
0
审稿时长
72 days
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