数字图像反取证技术综述

发布时间：2018-04-20 16:39

本文选题：反取证 + 被动取证　；参考：《中国图象图形学报》2016年12期

【摘要】：目的数字图像的真实性问题备受人们关注,被动取证是解决该问题的有效途径。然而,如果伪造者在篡改图像的同时利用反取证技术对篡改的痕迹进行消除或伪造,那么已有的大量被动取证技术都将失效。回顾图像反取证技术的研究现状(包括兴起原因、实现原理、技术特点以及应用前景),并根据已有文献总结反取证技术面临的主要挑战和机遇。方法由于现有的被动取证技术大都基于遗留痕迹和固有特征的异同来辨识图像真伪,因此本文以不同的取证特征为线索来评述和比较反取证技术的原理和策略。结果根据取证特征的不同,将反取证技术归纳为遗留痕迹隐藏、固有特征伪造和反取证检测等三类,并展示了当前各类反取证技术面临的难点和挑战。结论对数字图像反取证技术进行总结和展望,并指出其算法未来在通用性、安全性、可靠性等方面将有待进一步的深入研究。
[Abstract]:Objective the authenticity of digital images has attracted much attention. Passive forensics is an effective way to solve this problem. However, if forgers tamper with images and use anti-forensics to remove or forge the traces of tampering, then a large number of passive forensics techniques will be ineffective. This paper reviews the current research situation of image countervailing technology (including the reason of its rise, the principle of its realization, the technical characteristics and the prospect of its application), and summarizes the main challenges and opportunities faced by the technology according to the existing literature. Methods because the existing passive forensics techniques are mostly based on the similarities and differences between the left traces and inherent features to identify the true and false images, this paper reviews and compares the principles and strategies of the anti-forensics technology with different evidential features as clues. Results according to the different characteristics of forensics, the techniques of anti-forensics were classified into three categories: the hiding of traces, the falsification of inherent characteristics and the detection of anti-forensics, and the difficulties and challenges faced by various kinds of anti-forensics techniques were demonstrated. Conclusion the technology of digital image anti-forensics is summarized and prospected, and it is pointed out that its algorithm will need further research in the aspects of generality, security and reliability in the future.
【作者单位】：南通大学电子信息学院;
【基金】：国家自然科学基金项目(61371113) 江苏省自然科学基金项目(BK20130393) 江苏省高校自然科学基金项目(15KJD520002) 江苏省高校品牌专业建设工程项目(06150032/002) 南通大学博士科研启动基金项目(03080416)~~
【分类号】：TP391.41;D918.2

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