the study of classification of network security incidents has a significant role for the building of the incident response system.

urgent incident response is the last stage in the in-depth defense architecture of information security.

应急响应环节是信息安全深度防御体系的最后环节。

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is the light right? reflections on incident response

对应急响应的思考

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the technological discussion on intranet security incident response management

关于内网安全应急响应管理的技术探讨

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incident response control model construction on expressway

高速公路事故响应控制模式构建

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chapter 4 of network information security incident response.

第4章网络信息安全事件应对措施。

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the research of military information security incident response management

军事信息安全应急响应管理研究

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computer incident response capability training

计算机事件响应能力培训

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and it achieves the objective of simple, efficient parts management and real-time incident response.

目标系统已经在实际生活中应用，做到了简单、高效的部件管理和实时的事件响应。

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in this paper, research work is conducted as follows: firstly, combine with domestic and foreign passive digital image authentication methods; we make an in-depth study of the relevant technology, and do some research on theoretical models and systems framework about digital image forensics.

文中研究工作有：1.结合国内外数字图像被动认证方法，深入研究了相关的技术，对数字图像取证的理论模型和系统框架进行了研究。

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in the case that the image does not carry its digital watermark, the blind forensics, as a part of digital image forensics, play a vital role in the authenticity verification.

针对图像不存在数字水印的情况，数字图像盲取证作为司法鉴定取证的一部分，对数字图像真实性的鉴别起着至关重要的作用。

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the digital image blind forensics technology which was studied begin with researching tampering methods conducts the forensics of the authenticity, integrity and original of digital image by analysing the image statistical features and the property of imaging equipment.

数字图像盲取证技术从篡改手段出发，通过对图像统计特征和成像设备的特性分析对数字图像的真实性、完整性和原始性进行取证分析。

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digital image blind forensics technology is aimed at identifying the authenticity of digital image without embedding digital watermarking in advance.

数字图像盲取证技术是指对数字图像在没有进行事先预处理的情况下，实现数字图像的真伪鉴别。

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digital evidence and forensics

数字证据及取证

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we build a digital image blind forensics system with high efficiency.

形成了一套高效的，可变换升级的数字图像盲取证系统。

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the image forensics based on signature and technology based on watermarking are together called active forensics, which was the research focus of digital image forensics, and then the passive forensics technology emerge.

基于数字签名和基于数字水印的取证技术合称为主动取证技术，是早期数字图像取证研究的热点。

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meanwhile, we propose an efficient system to meet the current needs of the digital image forensics industry, which achieves a rapid detection for natural image with copy-paste tampering and cg image.

同时，开发实现了数字图像盲取证系统，满足了当前司法鉴定行业内对计算机生成图像和自然图象复制粘贴篡改预检的需要。

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aiming at a common copy-paste forgery in the research field of digital image forensics, this paper proposes a detection approach based on wavelet transform and singular value decomposition.

针对数字图像取证中一类常见的复制粘贴图像伪造，本文提出了一种基于小波变换和奇异值分解的检测算法。

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digital image forensics can be divided into initiative forensics and passive forensics, we describe them respectively.

其次，在总结现有的图像取证技术基础上，将数字图像取证技术分为主动取证和被动取证两类进行分别讨论。

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so the digital image forensics, especially passive image forensics, has become a particularly important and hot research field nowadays.

因此，数字图像取证技术成为当前许多领域非常重要的热点课题，尤其是被动取证技术的研究。

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the main contents and innovations are as follows: firstly, the basic framework of digital image forensics is studied.

论文的主要研究内容及创新点如下：数字图像盲取证系统框架的研究。

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