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Carving Orphaned JPEG File Fragments

机译:雕刻孤立的JPEG文件片段

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摘要

File carving techniques allow for recovery of files from storage devices in the absence of any file system metadata. When data are encoded and compressed, the current paradigm of carving requires the knowledge of the compression and encoding settings to succeed. In this paper, we advance the state of the art in JPEG file carving by introducing the ability to recover fragments of a JPEG file when the associated file header is missing. To realize this, we examined JPEG file headers of a large number of images collected from Flickr photo sharing site to identify their structural characteristics. Our carving approach utilizes this information in a new technique that performs two tasks. First, it decompresses the incomplete file data to obtain a spatial domain representation. Second, it determines the spatial domain parameters to produce a perceptually meaningful image. Recovery results on a variety of JPEG file fragments show that given the knowledge of Huffman code tables, our technique can very reliably identify the remaining decoder settings for all fragments of size 4 KiB or above. Although errors due to detection of image width, placement of image blocks, and color and brightness adjustments can occur, these errors reduce significantly when fragment sizes are >32 KiB.
机译:文件雕刻技术允许在没有任何文件系统元数据的情况下从存储设备恢复文件。在对数据进行编码和压缩时,当前的雕刻范式要求成功使用压缩和编码设置的知识。在本文中,我们引入了在缺少相关文件头时恢复JPEG文件片段的功能,从而提高了JPEG文件雕刻的技术水平。为了实现这一点,我们检查了从Flickr照片共享站点收集的大量图像的JPEG文件标题,以识别其结构特征。我们的雕刻方法将这种信息用于一项执行两项任务的新技术中。首先,它对不完整的文件数据进行解压缩以获得空间域表示。其次,它确定空间域参数以产生感知上有意义的图像。对各种JPEG文件片段的恢复结果表明,有了霍夫曼代码表的知识,我们的技术就可以非常可靠地识别大小为4 KiB或以上的所有片段的其余解码器设置。尽管可能会由于图像宽度,图像块的放置以及颜色和亮度调整的检测而发生错误,但当片段大小> 32 KiB时,这些错误会大大减少。

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