Fast Forensic Triage Using Centralised Thumbnail Caches on Windows Operating Systems

IF 0.6 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS Journal of Digital Forensics Security and Law Pub Date : 2019-01-01 DOI:10.15394/jdfsl.2019.1591
Sean McKeown, Gordon Russell, P. Leimich
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引用次数: 2

Abstract

A common investigative task is to identify known contraband images on a device, which typically involves calculating cryptographic hashes for all the files on a disk and checking these against a database of known contraband. However, modern drives are now so large that it can take several hours just to read this data from the disk, and can contribute to the large investigative backlogs suffered by many law enforcement bodies. Digital forensic triage techniques may thus be used to prioritise evidence and effect faster investigation turnarounds. This paper proposes a new forensic triage method for investigating disk evidence relating to picture files, making use of centralised thumbnail caches that are present in the Windows operating system. Such centralised caches serve as a catalogue of images on the device, allowing for fast triage. This work includes a comprehensive analysis of the thumbnail variants across a range of windows operating systems, which causes difficulties when detecting contraband using cryptographic hash databases. A novel method for large-scale hash database generation is described which allows precalculated cryptographic hash databases to be built from arbitrary image sets for use in thumbnail contraband detection. This approach allows for cryptographic hashes to be generated for multiple Windows versions from the original source image, facilitating wider detection. Finally, a more flexible approach is also proposed which makes novel use of perceptual hashing techniques, mitigating issues caused by the differences between thumbnails across Windows versions. A key contribution of this work demonstrates that by using new techniques, thumbnail caches can be used to robustly and effectively detect contraband in seconds, with processing times being largely independent of disk capacity.
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在Windows操作系统上使用集中式缩略图缓存的快速取证分类
一项常见的调查任务是识别设备上已知的违禁品图像,这通常涉及计算磁盘上所有文件的加密散列,并将其与已知违禁品数据库进行比对。然而,现在的硬盘非常大,仅仅从磁盘读取这些数据就可能需要几个小时,并且可能导致许多执法机构遭受大量的调查积压。因此,数字法医分诊技术可用于优先处理证据并加快调查周转。本文提出了一种新的法医分类方法,用于调查与图片文件有关的磁盘证据,利用Windows操作系统中存在的集中式缩略图缓存。这种集中的缓存作为设备上的图像目录,允许快速分类。这项工作包括对一系列windows操作系统的缩略图变体进行全面分析,这在使用加密散列数据库检测违禁品时造成了困难。描述了一种新的大规模哈希数据库生成方法,该方法允许从任意图像集构建预先计算的密码哈希数据库,用于缩略图违禁品检测。这种方法允许从原始源图像为多个Windows版本生成加密散列,从而促进更广泛的检测。最后,还提出了一种更灵活的方法,该方法新颖地使用了感知哈希技术,减轻了Windows版本之间缩略图差异造成的问题。这项工作的一个关键贡献表明,通过使用新技术,缩略图缓存可以在几秒钟内可靠有效地检测违禁品,处理时间在很大程度上与磁盘容量无关。
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来源期刊
Journal of Digital Forensics Security and Law
Journal of Digital Forensics Security and Law COMPUTER SCIENCE, INFORMATION SYSTEMS-
自引率
0.00%
发文量
5
审稿时长
10 weeks
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