LSB

Extracting attack methods on popular LSB steganography are researched.

针对使用最普遍的LSB隐写术研究了提取攻击方法。

The main idea of this arithmetic is to divide audio into blocks, and make each block DCT transformed. And the main DCT coefficients are quantized and encrypted to be the watermark. It is then be embedded to LSB bit of the audio itself.

其基本思路是把音频分段，每段的主要DCT系数经过量化和加密后，作为水印嵌入另一个音频段的LSB最低位之中。

The watermarks are robust against LSB and crop attack.

可以抵抗LSB攻击和剪切攻击.

In this foundation, it improves and implements the Least Significant Bit ( LSB ) algorithm the airspace law.

在此基础上, 对空域法中的最不重要位 ( LSB ) 算法提出了改进并加以实现.

Encoding ELFDATA 2 LSB specifies 2's complement values, with the least significant byte occupying the lowest address.

ELFDATA2LSB编码指定了2的补数值, 最小有意义的字节占有最低的地址.

The problem of extracting attack to sequential LSB steganography is essentially equivalent to the problem of estimating the beginning and the end of the secret message.

序贯LSB隐写术在载体中通过连续LSB替换嵌入消息，其提取攻击问题本质上是消息嵌入起止点的估计问题。

In the paper we did necessary improvement to the present popular LSB. And we propose new ways to improve digital watermarking for audios.

本文对目前最流行的最不重要位法（LSB）相关算法进行了必要的改进，并且提出了更多有效的针对音频、语音数据的数字水印算法。

The material selection, development and industrial test of LSB 200-22 concentrated acid pump are described.

介绍了LSB200-22 型浓酸泵的选材 、 研制和试用等情况.

Through adjusting the dimension of VSW in W-LSB encoding ( a key parameter in header compressor) with the accurate estimation of wireless channel state, this new algorithm can achieve a good balance of compression ratio and error-resistant robustness for its adaptive usage over wireless links.

该算法通过对无线信道状态的精确估计来调节报头压缩器中W-LSB编码的可变滑动窗口的大小，在压缩率和抗差错健壮性之间能够实现好的平衡，并适应特性经常变化的无线链路。

In this foundation, it improves and implements the Least Significant Bit ( LSB ) algorithm the airspace law.

在此基础上, 对空域法中的最不重要位 ( LSB ) 算法提出了改进并加以实现.

The steganography system based on Arnold transform and modified LSB embedding isconstructed.

构成了基于Arnold置乱变换与改进的LSB嵌入方案的信息伪装系统.

The limit that space domain only be applied in LSB under gray image of digital watermark was changed. Then, experiment showed that the method have a better adaptability to normal attack.

在灰度图像中的数字水印中，空间域方法只能用在LSB（最低有效位）的局限性，同时，实验表明对常规攻击具有较好的识别能力。

Because the MSB and LSB should have a basic correlation between them, the alteration of the LSB by some steganographic techniques can break this relationship, making detection possible.

因为MSB和LSB之间应该有一些基本的关联，有些隐写术会改变LSB，因而可能打破这种关系，这给侦测带来了可乘之机。

Sencondly, we discuss the extracting attack to random LSB steganography of JPEG images.

其次, 对JPEG图像随机LSB隐写系统给出了提取攻击的方法.

In DAC, the precision of current source is improved by using segment architecture and optimized array, the resolution achieves 1 LSB and DNL is in the range of+ 0.5LSB;

利用分段译码和误差平均化的方法来提高电流源精度，使得DAC的转换精度完全达到七位，其DNL在±0.5LSB以内；

For data hiding we present morphological wavelet LSB data hiding algorithm.

在数据隐藏中，我们提出了形态小波的LSB数据隐藏算法。

Let the grayscale values of host image map the initial values of the chaotic mapping. The watermark obtained by iterating several times of the chaotic mapping, is embedded into the LSB ( Least Significant Bit) plane of host image.

原始图像的象素灰度值映射为混沌的初值，经过若干次迭代生成水印图像，然后把它嵌入象素灰度值的LSB（Least significant bit）平面。

LSB Steganography Base on Memory Characteristic

基于记忆特性的LSB密写

Trading mechanism has produced a unnoticeable influence on market predictability. ( 2) Using LSB models shipped to measure the size of information costs of the Shanghai Index and Wanke A, results show that the information cost of Wanke A is far less than the Shanghai index.

交易机制对市场预测性产生了不可忽视的影响。（2）运用LSB模型对上证指数和万科A的信息成本大小进行度量，结果显示万科A的信息成本远低于上证指数。

Blind Detection of LSB Steganography Based on a Cubic Equation

基于三次方程的LSB隐藏信息的盲检测

We will improve on the traditional LSB technique to increase the capacity.

本文还对传统的最低有效位替换法进行改进，从而可以大幅度提高隐写容量。

Encoding ELFDATA 2 LSB specifies 2's complement values, with the least significant byte occupying the lowest address.

ELFDATA2LSB编码指定了2的补数值, 最小有意义的字节占有最低的地址.

Approaches for Recovering Key of LSB Steganography

LSB隐写术的密钥恢复方法