Statistical and deterministic approaches for multimedia forensics

Q4 Computer Science
Cecilia Pasquini
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引用次数: 0

Abstract

The increasing availability and pervasiveness of multimedia data in our society is before our very eyes. As a result of globalization and worldwide connectivity, people from all over the planet are exchanging constantly increasing amounts of images, videos, audio recordings on a daily basis. Coupled with the easy access to user-friendly editing software, this poses a number of problems related to the reliability and trustworthiness of such content, as well as its potential malevolent use. For this reason, the research field of multimedia forensics focuses on the development of forensic tools for verifying the authenticity of multimedia data. The hypothesis of pristine status of images, videos or audio tracks is called into question and can be rejected if traces of manipulation are detected with a certain degree of confidence. In this framework, studying traces left by any operation that could have been employed to process the data, either for malicious purposes or simply to improve their content or presentation, turns out to be of interest for a comprehensive forensic analysis.  The goal of this doctoral study is to contribute to the field of multimedia forensics by exploiting intrinsic statistical and deterministic properties of multimedia data.  With this respect, much work has been devoted to the study of JPEG compression traces in digital images, resulting in the development of several innovative approaches. Indeed, some of the main related research problems have been addressed and solution based on statistical properties of digital images have been proposed. In particular, the problem of identifying traces of JPEG compressions in images that have been decompressed and saved in uncompressed formats has been extensively studied, resulting in the design of novel statistical detectors. Given the enormous practical relevance, digital images in JPEG formats have also been considered. A novel method aimed at discriminating images compressed only once and more than once has been developed, and tested on a variety of images and forensic scenarios. Being the potential presence of intelligent counterfeiters ever increasingly studied, innovative counterforensic techniques to JPEG compression based on smart reconstruction strategies are proposed. Finally, we explore the possibility of defining and exploiting deterministic properties related to a certain processing operation in the forensic analysis. With this respect, we present a first approach targeted to the detection in one-dimensional data of a common data smoothing operation, the median filter. A peculiarity of this method is the ability of providing a deterministic response on the presence of median filtering traces in the data under investigation.
多媒体取证的统计和确定性方法
多媒体数据在我们的社会中日益增加的可用性和普遍性就在我们眼前。由于全球化和世界范围内的联系,来自世界各地的人们每天都在不断地交换越来越多的图像、视频和录音。再加上易于使用的用户友好编辑软件,这就提出了许多与这些内容的可靠性和可信度有关的问题,以及其潜在的恶意使用。因此,多媒体取证的研究重点是开发用于验证多媒体数据真实性的取证工具。图像、视频或音轨的原始状态的假设受到质疑,如果以一定程度的信心检测到操纵痕迹,则可以拒绝。在这个框架中,研究任何可能用于处理数据的操作留下的痕迹,无论是出于恶意目的还是仅仅为了改进其内容或表示,都是对全面取证分析感兴趣的。这项博士研究的目标是通过利用多媒体数据固有的统计和确定性属性,为多媒体取证领域做出贡献。在这方面,许多工作都致力于研究数字图像中的JPEG压缩轨迹,从而产生了一些创新的方法。事实上,一些主要的相关研究问题已经得到解决,并提出了基于数字图像统计特性的解决方案。特别是,在已解压缩并以未压缩格式保存的图像中识别JPEG压缩痕迹的问题已经得到了广泛的研究,从而设计了新的统计检测器。由于具有巨大的实际意义,JPEG格式的数字图像也被考虑在内。本文开发了一种新的方法,旨在区分只压缩一次和多次压缩的图像,并在各种图像和法医场景中进行了测试。随着对智能造假者潜在存在的研究日益深入,提出了基于智能重构策略的JPEG压缩反取证创新技术。最后,我们探讨了在法医分析中定义和利用与特定处理操作相关的确定性属性的可能性。在这方面,我们提出了针对在一维数据中检测常见数据平滑操作的第一种方法,即中值滤波器。该方法的一个特点是能够对所调查数据中存在的中值滤波痕迹提供确定性响应。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Electronic Letters on Computer Vision and Image Analysis
Electronic Letters on Computer Vision and Image Analysis Computer Science-Computer Vision and Pattern Recognition
CiteScore
2.50
自引率
0.00%
发文量
19
审稿时长
12 weeks
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