Extraction and Categorisation of User Activity from Windows Restore Points
 

Damir Kahvedžić
damir.kahvedzic@ucd.ie
Computer Science and Informatics
University College Dublin,
Ireland

Dr.Tahar Kechadi
tahar.kechadi@ucd.ie
Computer Science and Informatics
University College Dublin,
Ireland
 

ABSTRACT

The extraction of the user activity is one of the main goals in the analysis of digital evidence. In this paper we present a methodology for extracting this activity by comparing multiple Restore Points found in the Windows XP operating system. The registry copies represent a snapshot of the state of the system at a certain point in time. Differences between them can reveal user activity from one instant to another. The algorithms for comparing the hives and interpreting the results are of high complexity. We develop an approach that takes into account the nature of the investigation and the characteristics of the hives to reduce the complexity of the comparison and result interpretation processes. The approach concentrates on hives that present higher activity and highlights only those differences that are relevant to the investigation. The approach is implemented as a software tool that is able to compare any set of offline hives and categorise the results according to the user needs. The categorisation of the results, in terms of activity will help the investigator in interpreting the results. In this paper we present a general concept of result categorisation to prove its efficiency on Windows XP, but these can be adapted to any Windows versions including the latest versions.

Keywords: Windows Registry, Registry Restore-Points, User Activity, Forensic Registry.