Steganography is used main for privacy communication.
隐写术主要用于秘密通信。
Digital image steganography does have some drawbacks, though.
但是，数码图像隐写术仍然有一定缺点。
Steganography is a new technology in the field of information security.
隐写术是信息安全领域一门新兴的技术。
The information steganography tool JPHS has been elementary taken part.
对信息伪装工具JPHS进行了初步地剖析。
According to the features of steganography, a new extraction was proposed.
针对隐写术的特点，提出了一种新的隐写提取算法。
An information steganography algorithm based on image chroma redundancy is structured.
提出了一种基于图象色度冗余的信息伪装算法。
This article examines the process of steganography and shows how you can detect its use.
本文将探讨隐写术的原理并展示如何侦测它的使用。
It shows this method can improve robust of steganography for high bit error rate channel.
表明该方法能提高信息隐藏在高误比特率信道的鲁棒性。
In this paper, a convenient image steganography scheme based on the spatial domain is proposed.
介绍了一种基于空间域的信息隐藏方案。
Currently, you can locate tools for performing steganography functions on different types of media.
目前，您可以使用工具对各种媒体类型执行隐写加密。
Extensive experiments prove the differences between the digital watermarking and digital steganography.
并通过实验证明了数字水印和数字密写之间的区别。
The point of the extracting attack to random LSB steganography of JPEG images is to recover the stego-key.
对JPEG图像随机LSB隐写系统的提取实际上是对隐写密钥的恢复。
Experiments show that the blind classifier can detect three methods steganography of MIDI audio effectively.
实验表明，盲分类器可以实现MIDI音频三种隐写方法的有效检测。
The study of steganography as one important branch of information security attracts more concerns than before.
而信息安全的一个重要分支：隐写术的研究正越来越受到重视。
In order to supervise use of the steganography effectively, it is necessary to study their detection technology.
为了有效地监督基于网络协议的隐写术使用，有必要研究对其检测的技术。
Steganography detection is to detect information in Internet to determine whether concealing information exists.
隐写检测就是要对网络信息进行检测以判断是否有隐写信息存在。
This paper analyzes the structure of the hypertext files and proposes a new and more secure steganography method.
通过分析超文本的文件结构，提出了一种更为安全可行的方法。
As you might expect for a technique that involves hiding information, steganography has always had a shady reputation.
正如它所要达到的隐藏信息效果一样，这种技术在历史上也曾深藏不露。
Using steganography technique in encrypted E-mail for hiding information is introduced, which can protect the E-mail.
介绍了如何利用信息隐藏技术，对加密后的邮件信息进行隐藏，以确保邮件的安全。
As an important subdiscipline of information hiding, steganography is one of important research fields in recent years.
密写术作为信息隐藏的一个重要分支，是近年来研究的热点领域之一。
This paper analyzes the structure and syntax of the text files and proposes a new and more secure steganography method.
该文通过分析文本的文件结构及句法特点，提出了一种更为安全可靠的方法。
The "extracting attack" on steganography is a kind of steganalysis, the purpose of which is to extract the hidden message.
对于隐写术的提取攻击是一种隐写分析，其目的是将隐藏消息提取出来。
Video steganography has the advantage of large embedding capacity, but the security is usually neglected when obtain the capacity.
视频数字隐写具有隐藏容量大的优点，但是通常在获得隐藏容量的同时，却忽视了安全性。
Experiments show that the average classification accuracy rate can be above 90% for either LSB replacement or matching steganography.
实验表明，分别对LSB替换、匹配隐写进行分析，平均分类正确率可以达到90%以上。
That it took hundreds of years for this to be realised is perhaps a testament to how good steganography can be at concealing information.
这部分内容在过了几百年之后才被人发现，或许证明了《隐写术》一书确实能隐匿信息。
Also note that this push method can very easily be integrated with a steganography module to conceal neuron interactions inside other data.
还需注意，这种push方法还可以轻易集成一个隐写模块，以隐藏其他数据内部的神经元交互。
At present, there are mainly two branches of information security research based on digital pictures, which are watermarking and steganography.
目前，基于多媒体图像的信息安全研究主要集中在数字水印与图像信息隐藏两方面。
The attacks on steganography is referred as to steganalysis, study on which mainly concerns about detecting the existence of hidden information.
对隐写术的攻击被称为“隐写分析”，目前，隐写分析的研究主要集中于检测隐蔽信息是否存在。
Traditional steganography hides its message as, say, every 20th word in a letter, or as the colour of every hundredth pixel in an electronic image.
传统的信息隐藏法隐藏信息的方式是藏掉一封信中的每20个字，或者一幅电子图片中的每百个像素。
To improve the detection rate of MB1 steganography based on noisy small sample sets, a steganalysis method with high generalizability is proposed.
为了提高针对混杂小样本集的MB 1隐写算法的检测率，提出了一种泛化能力较强的MB 1隐写分析方法。
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