Forensic entropy analysis of microsoft windows storage volumes

Peter Weston, S. Wolthusen
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引用次数: 8

Abstract

The use of file or volume encryption as a counter-forensic technique, particularly when combined with stegano-graphic mechanisms, depends on the ability to plausibly deny the presence of such encrypted data. Establishing the likely presence of encrypted data is hence highly desirable for forensic investigations, particularly if an automated heuristic can be devised. Similarly, forensic analysts must be able to identify whether a volume has been sanitised by re-installation and subsequent re-population with user data as otherwise significant information such as slack space contents and files of interest will be unavailable. We claim that the current or previous existence of encrypted volumes can be derived from studying file and volume entropy characteristics based on knowledge of the development of volume entropy over time. To validate our hypothesis, we have examined several versions of the Microsoft Windows operating system platform over a simulated installation life-cycle and established file and volume entropy metrics. Similarly, using the same mechanisms, we verified the hypothesis that the aging through regular use of an installation is identifiable through entropy fingerprint analysis. The results obtained allow the rapid identification of several volume-level operations including copying and wiping, but also to detect anomalous slack space entropy indicative of the use of encryption techniques. Similarly, entropy and randomness tests have been devised which provide heuristics for the differentiation of encrypted data from other high-entropy data such as compressed media data.
microsoft windows存储卷的取证熵分析
使用文件或卷加密作为反取证技术,特别是与隐写机制结合使用时,取决于是否有能力合理地否认此类加密数据的存在。因此,确定加密数据的可能存在是法医调查非常需要的,特别是如果可以设计自动启发式。类似地,取证分析人员必须能够通过重新安装和随后重新填充用户数据来确定卷是否已被清理,否则诸如空闲空间内容和感兴趣的文件等重要信息将不可用。我们声称,当前或以前存在的加密卷可以通过基于卷熵随时间发展的知识来研究文件和卷熵特征。为了验证我们的假设,我们在模拟的安装生命周期中检查了几个版本的Microsoft Windows操作系统平台,并建立了文件和卷熵度量。同样,使用相同的机制,我们验证了这样一个假设,即通过熵指纹分析可以识别由于经常使用装置而导致的老化。所获得的结果允许快速识别几个卷级操作,包括复制和擦除,但也可以检测表明使用加密技术的异常空闲空间熵。同样,熵和随机性测试也被设计出来,为区分加密数据和其他高熵数据(如压缩媒体数据)提供了启发。
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