用混合图像隐写算法增强高质量图像交易的安全性

Shipra Bharti, Sunny Behal, Vishal Sharma
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引用次数: 4

摘要

隐写术是在普通消息中隐藏秘密(编码)消息的技术。隐写术的目的是在发送方和接收方共享信息时将信息隐藏起来。隐写术与密码学紧密相关,密码学将信息分散,使其无法被理解,而隐写术则隐藏了信息的存在。种子值的使用方式使以PSNR衡量的图像质量增加,并且在图像内数据保持安全。这个过程继续进行;伪随机数生成器首先通过一个任意种子生成一个随机数序列。然后将封面图像分割成动态大小的块。使用这个序列创建一条路由,在像素的LSB中,秘密数据沿着这条路由嵌入。在本研究中,利用离散小波变换实现频域技术,并利用深度神经网络技术从输入图像中进行分类,找到LSB。采用ECC算法进行加密,提高安全系数。然后,使用加密算法对成像系统中的安全信息进行分类。对实现该输出的峰值信噪比、结构相似度指标测度和解密时间因子等性能参数进行评价,并利用关联神经网络对现有算法进行比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Security Enhancements for High Quality Image Transaction with Hybrid Image Steganography Algorithm
Steganography is technique of hiding a secret (coded) message within an ordinary message.The purpose of steganography is to keep the information under covers while both the sender and the receiver share the information. Steganography and cryptography are firmly related, cryptography scatters the message so that it cannot be understood while steganography hides the existence of the message. The seed values are using in such manner that the IMAGE QUALITY which is measured in terms of PSNR increases and Within the image the data remains safe. The process goes on as; a pseudo-random number generator first generate a sequence of random numbers by an arbitrary seed. Then the cover image is splited into dynamic-size blocks. A route is created by using this sequence and in the LSB of the pixels,the secreat data s embedded along this route. In this research work, implemented the frequency domain technique using Discrete Wavelet Transformation and perform classification to find the LSB’s from the input image using DNN technique. It performs the encryption using ECC algorithm to enhance the security factor. After that, the encryption algorithm using classifies the secure information in the imaging system. To evaluate the performance parameters like Peak signal to noise ratio and Structure Similarity Index Measure and Decryption time factor to achieve this output and compare the existing algorithm using Association Neural Network.
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