文章基本信息

标题：Correlating Orphaned Windows Registry Data Structures
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作者：Damir Kahved, Tahar Kechadi
期刊名称：Journal of Digital Forensics, Security and Law
印刷版ISSN：1558-7215
电子版ISSN：1558-7223
出版年度：2009
期号：1702
页码：39-56
出版社：Association of Digital Forensics, Security and Law
摘要：Recently, it has been shown that deleted entries of the Microsoft Windows registry (keys) may still reside in the system files once the entries have been deleted from the active database. Investigating the complete keys in context may be extremely important from both a Forensic Investigation point of view and a legal point of view where a lack of context can bring doubt to an argument. In this paper we formalise the registry behaviour and show how a retrieved value may not maintain a relation to the part of the registry it belonged to and hence lose that context. We define registry orphans and elaborate on how they can be created inadvertently during software uninstallation and other system processes. We analyse the orphans and attempt to reconstruct them automatically. We adopt a data mining approach and introduce a set of attributes that can be applied by the forensic investigator to match values to their parents. The heuristics are encoded in a Decision Tree that can discriminate between keys and select those which most likely owned a particular orphan value.