Forensic analysis of ordered data structures on the example of JPEG files

Thomas Gloe
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引用次数: 37

Abstract

JPEG file format standards define only a limited number of mandatory data structures and leave room for interpretation. Differences between implementations employed in digital cameras, image processing software, and software to edit metadata provide valuable clues for basic authentication of digital images. We show that there exists a realistic chance to fool state-of-the-art image file forensic methods using available software tools and introduce the analysis of ordered data structures on the example of JPEG file formats and the EXIF metadata format as countermeasure. The proposed analysis approach enables basic investigations of image authenticity and documents a much better trustworthiness of EXIF metadata than commonly accepted. Manipulations created with the renowned metadata editor ExifTool and various image processing software can be reliably detected. Analysing the sequence of elements in complex data structures is not limited to JPEG files and might be a general principle applicable to different multimedia formats.
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以JPEG文件为例,对有序数据结构进行取证分析
JPEG文件格式标准只定义了有限数量的强制数据结构,并留下了解释的空间。在数字相机、图像处理软件和编辑元数据软件中使用的实现之间的差异为数字图像的基本身份验证提供了有价值的线索。我们表明,使用可用的软件工具存在欺骗最先进的图像文件取证方法的现实机会,并以JPEG文件格式和EXIF元数据格式为例介绍了有序数据结构的分析作为对策。所提出的分析方法能够对图像真实性进行基本调查,并记录EXIF元数据比通常接受的可信度高得多的可信度。使用著名的元数据编辑器ExifTool和各种图像处理软件创建的操作可以可靠地检测到。分析复杂数据结构中的元素序列并不局限于JPEG文件,它可能是适用于不同多媒体格式的一般原则。
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