基于信道编码的信息隐藏技术研究

研究了一种新颖的利用信道编码作为载体的信息隐藏技术，给出了基于信道编码的信息隐藏技术的具体实现方案。实验仿真了基于BCH码、RS码和卷积码的信息隐藏方案，并对实验数据进行了分析。仿真结果表明基于信道编码的信息隐藏技术具有较好的不可检测性和较高的安全性。     

基于动态失真补偿量化索引调制的可逆数据隐藏算法

不同于传统的失真补偿量化索引调制,该文提出了动态失真补偿量化索引调制的概念。两者的区别在于量化步长和失真补偿参数是否可变。首先推导出动态失真补偿量化索引调制可逆性的成立条件,然后推导出失真补偿参数的可允许范围,最后利用可逆性设计一个具体的可逆数据隐藏算法。在只执行一遍时,它的数据隐藏率高达1 bit每像素,高于其他可逆数据隐藏算法。另外,算法的动态特性有利于防止参数泄露。实验结果表明：不管初始条件如何,该算法既能正确解码出秘密信息,又能准确恢复原始载体。     

基于Turbo码的信息隐藏方案研究

Turbo码被看作是信道编码理论发展史上的一个里程碑,随着网络和现代通信技术的飞速发展,现代化多媒体信息的安全问题日益突出,与Turbo码相结合的信息隐藏技术的研究受到了人们的关注。首先介绍了Turbo码的编译码结构和原理以及Turbo码的译码算法,然后就Turbo码提出了两种信息隐藏技术方案,通过理论和仿真实验对隐藏方案的性能进行了分析并得出结论。     

信息隐藏技术及其应用性能分析

近年来，随着网络和多媒体技术的快速发展，信息隐藏技术已经成为信息安全领域的一个研究热点一首先综述了信息隐藏的基本概念和原理，进而分析了各种信息隐藏技术的典型算法和特点，并结合具体应用领域讨论了隐藏算法的性能，最后指出了信息隐藏算法有待进一步深入研究的方向和可能的解决方法.     

信息隐藏理论与关键技术研究

本项目主要研究了信息隐藏的基本模型,在数字图像、音频、视频、文本中的信息隐藏和数字水印算法,以及信息隐藏检测的基本方法.     

信道信息隐藏中秘密信息的预处理研究

文章研究了基于信道编码的信息隐藏技术,提出了新的秘密信息预处理方法—采用RS码M公钥密码体制对秘密信息进行编码。理论分析和实际计算表明,该方法能够极大地提高秘密信息的安全性。     

数字图像信息隐藏技术研究

阐述了信息隐藏的基本概念及其与信息加密的区别,给出了用数字图像作为掩护媒体的信息隐藏算法,为了提高信息隐藏的安全性,引入了混沌序列对秘密信息进行加密的方法,实验结果表明,算法很好的实现了信息隐藏功能。     

信息隐藏与数字水印技术及其应用

介绍了信息隐藏的概念和基本原理,阐明了数字水印的分类和对数字水印的要求,说明了数字水印嵌入和检测的基本原理,简要分析了Cox提出的水印技术。最后列举了数字水印在现实中的应用,介绍了对数字水印常见的几类攻击方法。     

信息隐藏技术及其应用

随着数字化和网络化的飞速发展,数字信息隐藏技术成为当前信息科学领域研究的热点,而其中数字水印是当前研究最为活跃的一个分支。因此对信息隐藏系统的基本模型、基本特性、算法实现、应用领域及研究动态进行了介绍。     

信息安全技术讲座第1讲 信息隐藏技术

信息安全技术是当今信息技术的一个快速发展的领域。本文对信息安全技术中的信息隐藏技术做了一个通俗的介绍。内容包括信息隐藏技术的发展、分支和术语、应用方向，还对其中的一个技术问题：隐藏信息的检测与提取，做了介绍。     

Performance analysis of joint switched diversity and adaptive modulation

In this paper, a simple and practical system based on a switched diversity scheme with adaptive modulation is presented. This system provides a reduced number of channel estimation while offering the optimum spectral efficiency given by a selection diversity system. In addition, the switching threshold is easily manipulated so as to make an efficient use of the tradeoff between spectral efficiency and channel estimation overhead. An extension of switched diversity into a multiuser scheduling is later also considered. This switch-based multiuser access scheme results in a lower average feedback load than that for the optimal selection-based multiuser scheme. Numerical results show that we can obtain a trade-off between spectral efficiency and the feedback load by choosing the switching threshold appropriately.     

一种针对BMP格式图像的LSB数字隐藏方法

介绍了一种针对BMP格式图像的数字隐藏方法。该方法对图像LSB(Lest Significant Bit) 平面进行随机嵌入。具有良好的隐蔽性,非法用户从载密图片中很难恢复出隐藏信息,可用于保密通信中。     

Hybrid transmission, compression and data hiding: quantisation index modulation as source coding strategy

A new hybrid compression and data hiding scheme based on quantisation index modulation and lattice vector quantisation is presented. The design of an appropriate vector dead zone and an adapted indexing technique makes this hybrid quantisation strategy very efficient, particularly in the field of image compression using wavelet transform.     

W(L)矩阵及信息隐藏方法

给出了一个W^（L）矩阵，及相关的性质，并在此基础上，提出了一种新的数据嵌入方法，可在（2L＋1）bit宿主信息中，嵌入2L bit数据而最多只需要修改L bit宿主信息。这种方法，有较大的数据嵌入率，且对宿主信息的改变也较少，比较适用于大信息量，特别是流媒体数据的隐藏及隐秘传输。     

Simultaneous wireless information and power transfer with fixed and adaptive modulation

Activating Wireless Power Transfer (WPT) in Radio-Frequency (RF) to provide on-demand energy supply to widely deployed Internet of Everything devices is a key to the next-generation energy self-sustainable 6G network. However, Simultaneous Wireless Information and Power Transfer (SWIPT) in the same RF bands is challenging. The majority of previous studies compared SWIPT performance to Gaussian signaling with an infinite alphabet, which is impossible to implement in any realistic communication system. In contrast, we study the SWIPT system in a well-known Nakagami-m wireless fading channel using practical modulation techniques with finite alphabet. The attainable rate-energy-reliability tradeoff and the corresponding rationale are revealed for fixed modulation schemes. Furthermore, an adaptive modulation-based transceiver is provided for further expanding the attainable rate-energy-reliability region based on various SWIPT performances of different modulation schemes. The modulation switching thresholds and transmit power allocation at the SWIPT transmitter and the power splitting ratios at the SWIPT receiver are jointly optimized to maximize the attainable spectrum efficiency of wireless information transfer while satisfying the WPT requirement and the instantaneous and average BER constraints. Numerical results demonstrate the SWIPT performance of various fixed modulation schemes in different fading conditions. The advantage of the adaptive modulation-based SWIPT transceiver is validated.     

基于压缩编码的信息隐匿算法研究

信息隐匿技术是信息安全研究的一个新领域，为了确保隐匿信息安全，研究了一种利用压缩编码作为载体的信息隐藏技术，给出了基于压缩编码思想的通用信息隐匿模型的具体实现方案。讨论了该模型的两种关键技术：数据变换和数据选择技术。运用文中所给的通用模型，通过实验得出图像嵌入量和图像质量的关系。     

遥感图像自适应分层量化的快速DCT压缩法

依据遥感图像的频谱特性,提出一种自适应分层量化的快速DCT图像压缩算法,在对原始图像快速DCT之后,根据图像频谱特性自适应修正JPEG量化表,再用新量化表分层量化DCT系数。真实遥感图像压缩实验表明,在同等压缩比下,提出的方法比标准JPEG方法速度快,且峰值信噪比增加1～2dB,并能实现嵌入式码流图像压缩。     

ECG compression method based on adaptive quantization of main wavelet packet subbands

In this study, a new compression algorithm for ECG signal is proposed based on selecting important subbands of wavelet packet transform (WPT) and applying subband-dependent quantization algorithm. To this end, first WPT was applied on ECG signal and then more important subbands are selected according to their Shannon entropy. In the next step, content-based quantization and denoising method are applied to the coefficients of the selected subbands. Finally, arithmetic coding is employed to produce compressed data. The performance of the proposed compression method is evaluated using compression rate (CR), percentage root-mean-square difference (PRD) as signal distortion, and wavelet energy-based diagnostic distortion (WEDD) as diagnostic distortion measures on MIT-BIH Arrhythmia database. The average CR of the proposed method is 29.1, its average PRD is <2.9 % and WEDD is <3.2 %. These results demonstrated that the proposed method has a good performance compared to the state-of-the-art compression algorithms.     

基于自适应谐振网络的矢量量化研究

简介矢量量化技术,描述了码书设计和码字搜索的原理.分析了自适应谐振网络相对于一般竞争网络的优点.即自适应谐振网络克服了一般竞争网络的稳定性/可塑性困境问题.文章归纳了自适应谐振神经网络的一般结构和学习算法.提出了基于自适应谐振神经网络的码书设计算法,并确定了相关的网络参数.基于自适应谐振神经网络的码书设计比一般竞争网络具有更好的效果.     

A novel high-performance reversible data hiding scheme using SMVQ and improved locally adaptive coding method

Reversible data hiding is a method that not only embeds secret data but also reconstructs the original cover image without distortion after the confidential data are extracted. In this paper, we propose novel reversible data hiding scheme that can embed high capacity of secret bits and recover image after data extraction. Our proposed scheme depends on the locally adaptive coding scheme (LAC) as Chang&Nguyen’s scheme and SMVQ scheme. Experimental results show that the compression rate of our proposed scheme is 0.33 bpp on average. To embed secret bits we propose the normal-hiding scheme and the over-hiding scheme which have an average embedding rate of 2.01 bpi and 3.01 bpi, more than that of Chang&Nguyen’s scheme (1.36 bpi). The normal-hiding scheme and the over-hiding scheme also has high embedding efficiency of 0.28 and 0.36 on average, which are better than that of Chang&Kieu’s scheme (0.12), Chang&Nguyen’s scheme (0.18) and Chang&Nguyen’s scheme (0.16).