Abstract. This paper introduces a novel approach to user event reconstruction by showing the practicality of generating and implementing signature-based analysis methods to reconstruct high-level user actions from a collection of low-level traces found during a post-mortem forensic analysis of a system. Traditional forensic analysis and the inferences an investigator normally makes when given digital evidence, are examined. It is then demonstrated that this natural process of inferring high-level events from low-level traces may be encoded using signature-matching techniques. Simple signatures using the defined method are created and applied for three popular Windows-based programs as a proof of concept.
This paper expands upon the finite state machine approach for the formal
analysis of digital evidence. The proposed method may be used to support the
feasibility of a given statement by testing it against a relevant system model.
To achieve this, a novel method for modeling the system and evidential
statements is given. The method is then examined in a case study example.Comment: 10 pages, 11 figures, Presented at the 1st International Conference
on Digital Forensics & Cyber Crim
This paper proposes a novel method for checking the consistency of forensic registry artifacts by gathering event information from the artifacts and analyzing the event sequences based on the associated timestamps. The method helps detect the use of counter-forensic techniques without focusing on one particular counter-forensic tool at a time. Several consistency checking models are presented to verify events derived from registry artifacts. Examples of these models are used to demonstrate how evidence of alteration may be detected.
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